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HPCC/SmartCity/DSS 2019The 21th IEEE International Conference on High Performance Computing and
Communications (HPCC-2019)The 17th IEEE International Conference on Smart City (SmartCity-2019)
The 5th IEEE International Conference on Data Science and Systems (DSS-2019)
August 10 – 12, 2019Zhangjiajie, China
Conference Program and Information Booklet
Organized byHunan University
Sponsored byIEEE, IEEE Computer Society, IEEE Technical Committee on Scalable Computing
Registration Desk, Name Badges and Conference Venue Map Page 1
Presentation Guidelines Page 2
Program Overview Page 3
Welcome Message from the Congress Chairs Page 8
Conference Keynotes Page 9
Summit Keynotes Page 20
Sessions of HPCC 2019 Page 23
Sessions of SmartCity 2019 Page 49
Sessions of DSS 2019 Page 52
Organizing Committee of HPCC 2019 Page 54
Program Committee of HPCC 2019 Page 55
Organizing Committee of SmartCity 2019 Page 59
Program Committee of SmartCity 2019 Page 60
Organizing Committee of DSS 2019 Page 62
Program Committee of DSS 2019 Page 63
Travel Guide Page 66
TABLE OF CONTENTS
1
Registration DeskThe Registration Desk will be open to assist you at the following times:
Friday, August 9, 2019, 10:00am – 6:00pm Saturday, August 10, 2019, 8:30am – 4:00pm Sunday, August 11, 2019, 8:30am – 4:00pm
Name Badges and Meal TicketsAll delegates, sponsors and speakers of the IEEE HPCC/SmartCity/DSS-2019 and associated workshops will beprovided with a name badge, to be collected upon registration. This badge must be worn at all times as it is yourofficial pass to all technical sessions of the conferences and morning and afternoon teas.
There are 4 different meal tickets for 2 lunches on August 10 and 11, banquet on August 10, and dinner onAugust 11, respectively.
Conference Venue Map
Blue Bay Hotel (蓝湾博格酒店)
Near Blue Harbor, Tianchong Road, Zhangjiajie City, Hunan Province, China
2
Presentation Guidelines
LanguageThe presentation language of the IEEE HPCC/SmartCity/DSS-2019 and associated workshops is English.
Checking InSession Chairs are requested to register at least 2 hours before their session, or as soon as the RegistrationDesk is open.
Setting UpYou are required to arrive at the room (in which you will deliver your talk) 20 minutes before thecommencement of the session. Upon arrival please confirm your attendance with the Session Chair andfamiliarize yourself with the venue.
Please bring with you a single paragraph summary, including your name (as you would like to be introduced),affiliation and research interests (maximum 100 words). Please present this to the session Session Chair uponarrval, for use for introductory purposes, prior to your talk.
Upon arrival, please copy your slides file to the presentation computer. If you plan to use your own equipment,please ensure it is ready to go prior to the session commencing, since there is very little time betweenpresentations. If you have requested optional equipment, ensure that is in the room. In the larger conferencerooms please, make sure you familiarise yourself with the audio system. For all assistance, please speak to theSession Chair.
TimingPlease ensure your check the program for the exact time of your session and where your paper falls within thesession.
It is recommended that all IEEE HPCC/SmartCity/DSS-2019 paper presentations use 20 minutes presentationtime including 5 minutes question time. However, the Session Chairs will determine the exact presentationtime for each paper, based on the number of presentations in each session. The Session Chairs will ensure thatyou do not over-run the time allocated.
Please keep strictly to this time guideline
PostersOne 90*60cm-size poster slot (portrait style) will be provided for each presenter.
3
The IEEE HPCC/SmartCity/DSS-2019Program Overview
Saturday August 10, 2019MeetingRoom Summer Palace
08:30 -16:00 Registration (Lobby)
08:30 -08:40 Opening Ceremony
08:40 -09:20
Keynote 1: M. Jamal Deen, " Smart Sensors and Data Analytics for Ubiquitous-Healthcare"(Chair: Xuemin Shen)
09:20 -10:00
Keynote 2: Bart Selman, "A 20-Year Roadmap for AI Research "(Chair: Keqin Li)
10:00 -10:15 Coffee Break
10:15 -10:55
Keynote 3: Weihua Zhuang, "Service Provisioning in 5G Communication Networks"(Chair: Geyong Min)
10:55 -11:35
Keynote 4: Yunhao Liu, "Internet of Everything for the New Industrial Revolution"(Chair: Zidong Wang)
11:35 -12:15
Keynote 5: Ren C. Luo, "Cyber Physical Computing System and AI Enabled Paradigm Shift of Intelligent Robotics”(Chair: Stephen S. Yau)
12:15 -13:00 Lunch Buffet (Blue Bay Restaurant)
MeetingRoom
Room A
(Third Floor)
Room B
(Third Floor)
Room C
(Third Floor)
Room D
(Third Floor)
Room E
(Second Floor)
Room F
(SecondFloor)
Room G
(Aisle 3rdFloor)
13:30 -15:30
Session-1A-I:Parallel Algorithmsand Applications(Chair: Liang
Zhao)
Session-1B-I: ParallelData Structures andAlgorithms and
Computational Tuning(Chair: Dakai Zhu)
Session-1C-I:Optimizations forDeep Learning
(Chair: MianxiongDong)
Session-1D-I:MachineLearning
(Chair: XiaokangZhou)
Session-1E-I:Computational
Analysis(Chair: Xiaokang
Wang)
Session-1F-I:Applicationsand Services(Chair: XuZhou)
Session-P-I:Memory andFile Systems(Chair: Zheng
Xiao)
4
15:30 -16:00
Coffee Break
16:00 -18:00
Session-1A-II:Security
(Chair: PumingWang)
Session-1B-II: CPUs,GPUs and Multi-core
Architectures(Chair: Xianjun Deng)
Session-1C-II:HPC Systems
(Chair: Lingzhi Yi)
Session-1D-II:Image
Encryption(Chair: Geyong
Min)
Session-1E-II:High-
performanceComputing I
(Chair: YaliangZhao)
Session-1F-II:Smart City I(Chair: Yong
Chen)
Session-P-II:Image
Processing(Chair: Zheng
Xiao)
MeetingRoom Summer Palace
18:00 -19:00
Summit on High Performance Computing and Communications for Smart Cities(Chair: Geyong Min)
19:00 -20:30
Banquet
5
Sunday August 11, 2019MeetingRoom Summer Palace
08:30-16:00 Registration (Lobby)
08:30-09:10
Keynote 1: Witold Pedrycz, "New Avenues of Artificial Intelligence for Modeling Environment: Towards Granular Artificial Intelligence"(Chair: Zizhong Chen)
09:10-09:50
Keynote 2: Xuemin Lin, "Large-scale Graph Processing: Applications, Challenges, and Advances"(Chair: Mianxiong Dong)
09:50 -10:05 Coffee Break
10:05 -10:45
Keynote 3: Tao Li, “Enabling Efficient Computer Architectural and System Support for Next-Generation Deep Learning Applications”(Chair: Dakai Zhu)
10:45 -11:25
Keynote 4: Pavan Balaji, "Onward and Upward to a New Era in Supercomputing"(Chair: Kenli LI)
11:25-12:05
Keynote 5: Xindong Wu, “HAO Intelligence: Integrating Human Intelligence and Artificial Intelligence with Organizational Intelligence”(Chair: Wanchun Dou)
12:05-13:00 Lunch Buffet (Blue Bay Restaurant)
MeetingRoom
Room A
(Third Floor)
Room B
(Third Floor)
Room C
(Third Floor)
Room D
(Third Floor)
Room E
(Second Floor)
Room F
(Second Floor)
Room G
(Aisle 3rd Floor)
13:30 -15:30
Session-2A-I:Cloud Computing
Systems(Chair: Zizhong
Chen)
Session-2B-I:Large-Data
(Chair: Juan Luo)
Session-2C-I:DatabaseSystems
(Chair: Ju Ren)
Session-2D-I:Data Analysis(Chair: Guojun
Wang)
Session-2E-I:Parallel
Processing(Chair: Hui Sun)
Session-2F-I:Smart City II(Chair: Bing
Xiong)
Session-P-III:Applicationsand Services(Chair: Zheng
Xiao)
15:30 -16:00
Coffee Break
6
16:00 -18:00
Session-2A-II:Cloud Computing(Chair: Fei Hao)
Session-2B-II:Deep
ReinforcementLearning
(Chair: Yulei Wu)
Session-2C-II:Communicationsand Networking(Chair: Jigang
Wu)
Session-2D-II:Data Storage I(Chair: Hongtao
Guan)
Session-2E-II:Data Storage II(Chair: Jianzeng
Li)
Session-2F-II:Smart City III(Chair: Sahan
Ahmad)
Session-P-IV:OptimizationAlgorithms
(Chair: ZhengXiao)
18:30 Dinner Buffet (Blue Bay Restaurant)
7
Monday August 12, 2019
MeetingRoom
Room A
(Third Floor)
Room B
(Third Floor)
Room C
(Third Floor)
Room D
(Third Floor)
Room E
(Second Floor)
Room F
(Second Floor)
Room G
(Aisle 3rdFloor)
8:30 -10:00
Session-3A-I:Cloud Computing(Chair: Takuya
Fukuoka)
Session-3B-I:InformationProcessing
(Chair: JishunKuang)
Session-3C-I:Communications(Chair: Zhufang
Kuang)
Session-3D-I:Task Scheduling(Chair: PhilipBranch)
Session-3E-I:Parallel
Architectures(Chair: Sheng Ma)
Session-3F-I:Data Science and
Systems(Chair: Rongchun
Li)
Session-P-V:Applicationsand Services(Chair: Zheng
Xiao)10:00 -10:30
Coffee Break
10:30 -12:30
Session-3A-II:Parallel
Computing I(Chair:
Muktikanta Sa)
Session-3B-II:Parallel
Computing II(Chair: I-Ling
Yen)
Session-3C-II:AdvancedComputing
(Chair: WanchunDou)
Session-3D-II:High Performance
Computing II(Chair: Jou-Ming
Chang)
Session-3E-II:DistributedSystems
(Chair: ChengkunWu)
Session-3F-II:OptimizationAlgorithms
(Chair: Jing Liu)
Session-P-VI:OptimizationAlgorithms
(Chair: ZhengXiao)
12:30 Lunch Buffet (Blue Bay Restaurant)
8
Welcome Message from the Conference ChairsWelcome to Zhangjiajie and the 2019 IEEE 21st International Conference on High PerformanceComputing and Communications; IEEE 17th International Conference on Smart City; IEEE 5thInternational Conference on Data Science and Systems (HPCC-SmartCity-DSS)!
HPCC-SmartCity-DSS has moved into the mainstream of computing and determined future researchand development activities in many academic and industrial branches, especially when the solutionof large and complex problems must cope with very tight timing schedules. HPCC-SmartCity-DSSprovides a high-profile, leading-edge forum for researchers, engineers, and practitioners to presentstate-of-art advances and innovations in theoretical foundations, systems, infrastructure, tools,testbeds, and applications for high performance computing and communication, smart city, datascience and systems, as well as to identify emerging research topics and define the future.
Here we would like to sincerely thank all organizing committee members, program committeemembers and reviewers for their hard work and valuable contribution. Without your help, thisconference would not have been possible. Special thanks go to Hunan University for hosting thisevent. We greatly appreciate the technical co-sponsorship from IEEE, IEEE Computer Society, andIEEE Technical Committee on Scalable Computing (TCSC). We are very grateful to the keynote andinvited speakers for their authoritative speeches. We thank all authors and conference participantsfor using this forum to communicate their excellent work.
Zhangjiajie is the first national forest park in China and one of the most important tourist cities inChina. It is located in the northwest of Hunan province, about 400 kilometres away from Changsha,the capital of Hunan province, covering a total area of 9,563 square kilometres, of which 76% aremountainous area. Zhangjiajie was listed into the World Natural Heritage Catalogue by the UNESCOin 1992. Zhangjiajie was awarded the title of “World Geological Park” in 2004.
We wish you have a fruitful and pleasant stay in Zhangjiajie!
Kenli Li, ProfessorIEEE Senior MemberDean, College of InformationScience and EngineeringHunan UniversityConference Program Chair
Laurence T. Yang, Professor, FCAE, FEICChair, IEEE CS TC on Scalable ComputingChair, IEEE SMC TC on CybermaticsSt Francis Xavier University, CanadaConference Steering Chair
Keqin Li, ProfessorIEEE FellowSUNY Distinguished ProfessorState University of New YorkConference General Chair
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Conference Keynotes Overview
Keynote 1: M. Jamal Deen, IEEE Fellow, APS Fellow, ECS Fellow, AAAS Fellow, RSC Fellow,
CAE Fellow, EIC Fellow, McMaster University, Canada
“Smart Sensors and Data Analytics for Ubiquitous-Healthcare”
Keynote 2: Bart Selman, ACM Fellow, AAAI Fellow, AAAS Fellow, Cornell University, USA
“A 20-Year Roadmap for AI Research”
Keynote 3: Weihua Zhuang, IEEE Fellow, RSC Fellow, CAE Fellow, EIC Fellow, University of
Waterloo, Canada
“Service Provisioning in 5G Communication Networks”
Keynote 4: Yunhao Liu, ACM Fellow, IEEE Fellow,Michigan State University, USA
“Internet of Everything for the New Industrial Revolution”
Keynote 5: Ren C. Luo, IEEE Fellow, IET Fellow, National Taiwan University, Taiwan.
“Cyber Physical Computing System and AI Enabled Paradigm Shift of Intelligent
Robotics”
Keynote 6: Witold Pedrycz, IEEE Fellow, University of Alberta, Canada
“New Avenues of Artificial Intelligence for Modeling Environment: Towards Granular
Artificial Intelligence”
Keynote 7: Xuemin Lin, IEEE Fellow, University of New South Wales, Australia
“Large-scale Graph Processing: Applications, Challenges, and Advances”
Keynote 8: Tao Li, IEEE Fellow, University of Florida, USA
“Enabling Efficient Computer Architectural and System Support for Next-Generation
Deep Learning Applications”
Keynote 9: Pavan Balaji, Argonne National Laboratory, USA
“Onward and Upward to a New Era in Supercomputing”
Keynote 10: Xindong Wu, IEEE Fellow, AAAS Fellow, Mininglamp Academy of Sciences, China
“HAO Intelligence: Integrating Human Intelligence and Artificial Intelligence with
Organizational Intelligence”
10
IEEE HPCC/SmartCity/DSS-2019
Keynote: Smart Sensors and Data Analytics for Ubiquitous-HealthcareProf. M. Jamal Deen, McMaster University, Canada
About the Keynote Speaker
Dr. M. Jamal Deen is Distinguished University Professor (highest rank of a Professor inCanada), Senior Canada Research Chair in Information Technology, and Director of theMicro- and Nano-Systems Laboratory, McMaster University. He served as the electedPresident of the Academy of Science, The Royal Society of Canada in 2015-2017 and isserving as the Past President (2017-2019). His current research interests arenanoelectronics, optoelectronics, nanotechnology, data analytics and their emergingapplications to health and environmental sciences. Dr. Deen’s research record includesmore than 585 peer-reviewed articles (about 20% are invited), two textbooks on “SiliconPhotonics- Fundamentals and Devices” and” Fiber Optic Communications:Fundamentals and Applications”, 12 awarded patents of which 6 were extensively usedin industry, and nineteen best paper/poster/presentation awards. Over his career, he has
won more than seventy-five awards and honors.As an undergraduate student at the University of Guyana, Dr. Deen was the top ranked mathematics and physicsstudent and the second ranked student at the university, winning the Chancellor’s gold medal and the Irving Adlerprize. As a graduate student, he was a Fulbright-Laspau Scholar and an American Vacuum Society Scholar. He is aDistinguished Lecturer of the IEEE Electron Device Society for more than a decade and a half. His awards andhonors include the Callinan Award as well as the Electronics and Photonics Award from the ElectrochemicalSociety; a Humboldt Research Award from the Alexander von Humboldt Foundation; the Eadie Medal from theRoyal Society of Canada; McNaughton Gold Medal (highest award for engineers), the Fessenden Medal and theHam Education Medal (highest award for educators), all from IEEE Canada IEEE Canada In addition, he wasawarded the four honorary doctorate degrees in recognition of his exceptional research and scholarlyaccomplishments, professionalism and service. Dr. Deen has also been elected Fellow status in ten nationalacademies and professional societies including The Royal Society of Canada - The Academies of Arts, Humanitiesand Sciences (the highest honor for academics, scholars and artists in Canada), the Canadian Academy ofEngineering (the highest honor for engineers in Canada) IEEE, APS (American Physical Society) and ECS(Electrochemical Society). Most recently, he was elected to the Order of Canada (July 2018), the highest civilianhonor awarded by the Government of Canada.
Summary:Several of the grand challenges in engineering for current and future societal needs require smart sensors and dataanalytics. In the health area, we will discuss some major healthcare issues related to aging and several examples ofsmart sensor systems. We will discuss the use of sensor systems to measure your walking signals and sleep quality,and their customization to an individual’s needs. Smart sensors are also used for a living diary and in a smart homeserver that functions as the “brain” of a smart medical home. In addition, we will discuss what are the trends andopportunities in smart sensors. This will include various high-impact applications of smart sensors, thepervasiveness of smart phones and their feasible applications in sensing and monitoring, what are some healthcaremarket drivers, the growing demand for personal health and wellness monitoring systems, IoTs, and wearabletechnologies. The presentation will include the use of data analytics to provide important customizable informationto the users based on data collected from a variety of sensors and IoT devices. Finally, we will discuss theapplications of smart sensors and data analytics, and what are some important research issues in sensors, homenetworks, autonomic systems and healthcare in the context of a futuristic smart medical home.
11
IEEE HPCC/SmartCity/DSS-2019
Keynote: A 20-Year Roadmap for AI ResearchDr. Bart Selman, Cornell University, USA
About the Keynote Speaker
Dr. Bart Selman is the Joseph C. Ford Professor of Engineering and Computer Science atCornell University. Dr. Selman was previously at AT&T Bell Laboratories. His researchinterests include artificial intelligence, computational sustainability, efficient reasoningprocedures, machine learning, deep learning, reinforcement learning, planning,knowledge representation, and connections between computer science and statisticalphysics. He has (co-)authored over 150 publications, including six Best Paper awards andtwo Classic Paper awards. His papers have appeared in venues spanning Nature, Science,Proc. Natl. Acad. of Sci., and a variety of conferences and journals in AI and ComputerScience. He has received the Cornell Stephen Miles Excellence in Teaching Award, theCornell Outstanding Educator Award, an NSF Career Award, and an Alfred P. Sloan
Research Fellowship. He is a Fellow of the American Association for Artificial Intelligence (AAAI), a Fellow of theAmerican Association for the Advancement of Science (AAAS), and a Fellow of the American Association forComputing Machinery (ACM). He is the recipient of the Inaugural IJCAI John McCarthy Research Award, awardedin recognition of outstanding AI researchers at their mid-career stage. Dr. Selman is the President-Elect of theAssociation for the Advancement of Artificial Intelligence (AAAI), the main international professional society forAI researchers and practitioners. He is also the co-Chair of a national study to determine a Roadmap for AI researchto guide US government research investments in AI.
Summary:I will summarize the findings of a recently completed, community-driven study to set research directions for AIResearch for the next 20 years. Over 100 prominent AI researchers contributed to the study, which was sponsoredby the US-based Computing Community Consortium (CCC), working with the National Science Foundation (NSF)and the Association for the Advancement of AI (AAAI). I co-chaired the study together with Yolanda Gil (Univ. ofSouthern California and AAAI President).
12
IEEE HPCC/SmartCity/DSS-2019
Keynote: Service Provisioning in 5G Communication NetworksProf. Weihua Zhuang, University of Waterloo, Canada
About the Keynote Speaker
Dr. Weihua Zhuang has been with the Department of Electrical and Computer Engineering,University of Waterloo, Canada, since 1993, where she is a Professor and a Tier I CanadaResearch Chair in Wireless Communication Networks. She is the recipient of 2017 TechnicalRecognition Award from IEEE Communications Society Ad Hoc & Sensor NetworksTechnical Committee, and a co-recipient of several best paper awards from IEEEconferences. Dr. Zhuang was the Editor-in-Chief of IEEE Transactions on VehicularTechnology (2007-2013), Technical Program Chair/Co-Chair of IEEE VTC Fall 2017 andFall 2016, and the Technical Program Symposia Chair of the IEEE Globecom 2011. She is aFellow of the IEEE, the Royal Society of Canada, the Canadian Academy of Engineering,and the Engineering Institute of Canada. Dr. Zhuang is an elected member in the Board ofGovernors and VP Publications of the IEEE Vehicular Technology Society.
Summary:The fifth generation (5G) communication networks will accommodate a wide range of emerging services withdiverse service quality requirements. The network will integrate a variety of network resources and technologies tosupport high transmission rate and to enhance quality of experience to mobile users. The traditional one-size-fits-allnetwork architecture cannot efficiently meet the needs of different services, due to the poor scalability, limitedadaptability, and inflexibility. Network function virtualization (NFV) enabled by software defined networking (SDN)technology is a promising approach for an agile and flexible 5G networking infrastructure. In this presentation, wewill provide an overview of several recent studies for 5G networks, including dynamic radio resource slicing inwireless network virtualization, computing and transmission resource allocation in the core network, and how toestablish a customized virtual network topology for multicast services.
13
IEEE HPCC/SmartCity/DSS-2019
Keynote: Internet of Everything for the New Industrial RevolutionProf. Yunhao Liu, Michigan State University, USA
About the Keynote Speaker
Yunhao Liu, ACM Fellow and IEEE Fellow, MSU Foundation Professor andChairperson of Department of Computer Science and Engineering at Michigan StateUniversity. He is also Changjiang Professor at Tsinghua University (No pay leave).Yunhao received his BS degree in Automation Department from Tsinghua University in1995, and an MS and a Ph.D. degree in Computer Science and Engineering at MichiganState University in 2003 and 2004, respectively. He now serves as the Editor in Chief ofACM Transactions on Sensor Networks.
Summary:I will introduce several of our ongoing Internet of Things (IoT) projects such as the GreenOrbs, TagSys, and WifiRadar. I will focus on a few key ideas such as device free localization, sensorless sensing, and the opportunities andchallenges in large scale IoT systems, and the impact of IoT to the new industrial revolution.
14
IEEE HPCC/SmartCity/DSS-2019
Keynote: Cyber Physical Computing System and AI EnabledParadigm Shift of Intelligent Robotics
Prof. Dr.- Ing. Ren C. Luo, National Taiwan University, Taiwan
About the Keynote Speaker
Prof. Ren C. Luo received the Dipl.-Ing. and Dr.-Ing degrees in electrical engineeringfrom the Technische Universitaet Berlin, Germany. He is currently served as Irving T.Ho Chair and Life Distinguished Professor at National Taiwan University. He is currentEditor-in-Chief of IEEE Transactions on Industrial Informatics. and Founding Presidentof Robotics Society of Taiwan. He also served two-terms as President of National ChungCheng University in Taiwan. He was a Tenured Full Professor of Department of ECE atNCSU, Raleigh, USA and Toshiba Chair Professor at the U. of Tokyo, Japan. Hisresearch interests include intelligent robotic systems, multisensor fusion and integration,Advanced Manufacturing. He has authored more than 500 papers on internationalrefereed Transactions/Journals and refereed international conferences and 25international patents on these topics. Prof. Luo received IEEE Eugean Mittlemann
Outstanding Research Achievement Award; IEEE IROS Harashima Innovative Technologies Award; ALCOACompany Foundation Outstanding Engineering Research Award, USA Outstanding Research Awards from Ministryof Science and Technology; Prof. Luo served as Editor-in-Chief of IEEE/ASME Transactions On Mechatronics andCo-Editor-in-Chief of IEEE Transactions on Industrial Electronics. Prof. Luo served as President of IEEE IndustrialElectronics Society. He also served as President of Chinese Institute of Automation Engineers, Program Director ofAutomation Technology Division, Ministry of Science and Technology; Prof. Luo served as Science andTechnology Adviser to the Prime Minister in Taiwan. Prof. Luo also served as referee and final review panelmember for the evaluation and assessment of national competitive grants program in major cross-disciplinaryresearch project for numerous international organizations and countries, such as USA, Japan, Canada, Australia,European Union, Austria, Singapore etc.,; Prof. Luo is a Fellow of IEEE and a Fellow of IET.
Summary:Industrial cyber physical computing and edge computing integrate with data river distribution flow connectingamong IT (Information Technology) and OT (Operation Technology) in revitalizing and strengthening thecompetitiveness of the intelligent robotics and manufacturing sector through digitalization, virtualization, network-based intelligent manufacturing systems. In this talk, issues and approaches of the core spirits of cyber physicalcomputing and AI enabled paradigm shift of intelligent robotics and manufacturing systems which enabling newdigital economy will be addressed. New insights are generated that can be used to offer industrial cyber physicalservices with cloud computing, edge computing and its exemplary best practices will also be presented.
15
IEEE HPCC/SmartCity/DSS-2019
Keynote: New Avenues of Artificial Intelligence for Modeling Environment: TowardsGranular Artificial Intelligence
Prof. Witold Pedrycz, University of Alberta, Canada
About the Keynote SpeakerWitold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) inComputational Intelligence in the Department of Electrical and Computer Engineering,University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute ofthe Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected aforeign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of theRoyal Society of Canada. In 2007 he received a prestigious Norbert Wiener award from theIEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE CanadaComputer Engineering Medal, a Cajastur Prize for Soft Computing from the EuropeanCentre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEEComputational Intelligence Society.
His main research directions involve Computational Intelligence, fuzzy modeling andGranular Computing, knowledge discovery and data science, pattern recognition, data science, knowledge-basedneural networks, and control engineering. He has published numerous papers in these areas. Dr. Pedrycz isvigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief ofWIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing(Springer) and J. of Data Information and Management (Springer).
Summary:Models, prediction tasks, control algorithms commonly encountered in engineering and industrial environment areinherently numeric artifacts coming with a long and successful tradition. These artifacts are designed on a basis ofexperimental data that are central to numerous pursuits. In contrast, Artificial Intelligence (AI) is deeply rooted insymbols. Knowledge representation and ensuing symbolic processing are crucial to the constructs encountered there.Casting AI in the setting of data-rich environment calls for bridging an acute gap between symbols and data,grounding symbols and facilitating processing at suitable levels of abstraction.Concepts constitute a concise manifestation of key aspects and properties of data. As being built at the higher (and
usually adjustable) level of abstraction than the data themselves, they capture the essence of the data and usuallyemerge in the form of information granules. We identify three main ways in which concepts are encountered andcharacterized: (i) numeric, (ii) symbolic, and (iii) granular. Each of these views come with their advantages andbecome complementary to a significant extent.
The numeric aspects of concepts are conceptualized by engaging various clustering techniques where thesemethods deliver suitable algorithmic prerequisites. The quality of numeric concepts evaluated at the numeric level isdescribed by a reconstruction criterion. The symbolic description of concepts, which is predominant in the realm ofAI and symbolic computing, can be represented by sequences of labels (integers). In such a way main qualitativeaspects of data are captured. This facilitates further qualitative analysis of concepts and constructs involving them byreflecting the bird’s-eye view of the data and relationships among them. They come hand in hand with a variety ofanalyses concerning constructs involving symbols, namely stability, distinguishability, redundancy, and conflict. Allof those become central to the important facet of interpretability (transparency) of the constructs and producedoutcomes.
The granular concepts augment numeric concepts by bringing information granularity into the picture andinvoking the principle of justifiable granularity in their construction. We elaborate on the general scheme ofprocessing of granular modeling dwelling upon a collection of granular concepts and forming a collection ofgranular models. We also advocate the general scheme: data representatives symbols linguisticsummarization and show its parallel manifestation and realization through the ensuing modeling artifacts (granularmodels) and their interpretation capabilities.
16
IEEE HPCC/SmartCity/DSS-2019
Keynote: Large-scale Graph Processing: Applications, Challenges, and AdvancesProf. Xuemin Lin, University of New South Wales, Australia
About the Keynote Speaker
Xuemin Lin is a UNSW distinguished Professor - Scientia Professor, and the head of dataand knowledge research group in the school of computer science and engineering atUNSW. Xuemin is a distinguished visiting Professor at Tsinghua University and visitingChair Professor at Fudan University. He is a fellow of IEEE. Xuemin's research interestslie in databases, data mining, algorithms, and complexities. Specifically, he is working inthe areas of scalable processing and mining of large-scale data, including graph, spatial-temporal, streaming, text and uncertain data.
Xuemin currently serves as the editor-in-Chief of IEEE Transactions on Knowledgeand Data Engineering (Jan 2017 - now). He was an associate editor of ACM TransactionsDatabase Systems (2008-2014) and IEEE Transactions on Knowledge and DataEngineering (Feb 2013- Jan 2015), and an associate editor-in-Chief of IEEE Transactionson Knowledge and Data Engineering (2015-2016), respectively. He has been regularly
serving as a PC member and area chairs/SPC in SIGMOD, VLDB, ICDE, ICDM, KDD, CIKM, and EDBT. He is aPC-chair of ICDE2019 and VLDB2022.
Summary:Graph data are key parts of Big Data and widely used for modelling complex structured data with a broad spectrumof applications. Over the last decade, tremendous research efforts have been devoted to many fundamental problemsin managing and analysing graph data. In this talk, I will cover various applications, challenges, and our recentadvances in graph matching, cohesive subgraph mining, etc. We will also look into the future of the area.
17
IEEE HPCC/SmartCity/DSS-2019
Keynote: Enabling Efficient Computer Architectural and System Support for Next-Generation Deep Learning Applications
Prof. Tao Li, University of Florida, USA
About the Keynote Speaker
Dr. Tao Li is a full professor in the Department of Electrical and ComputerEngineering at the University of Florida. He received a Ph.D. in ComputerEngineering from the University of Texas at Austin. His research interests includecomputer architecture, microprocessor/memory/storage system design, virtualizationtechnologies, energy-efficient/sustainable/ dependable data center, cloud/big datacomputing platforms, the impacts of emerging technologies/applications oncomputing, and evaluation of computer systems. Dr. Tao Li received 2009 NationalScience Foundation Faculty Early CAREER Award, 2008, 2007, 2006 IBM FacultyAwards, 2008 Microsoft Research Safe and Scalable Multi-core Computing Awardand 2006 Microsoft Research Trustworthy Computing Curriculum Award. Dr. TaoLi co-authored two papers that won the Best Paper Awards in ICCD 2016, HPCA2011 and seven papers that were nominated for the Best Paper Awards in HPCA2018, HPCA 2017, ICPP 2015, CGO 2014, DSN 2011, MICRO 2008 andMASCOTS 2006. Dr. Tao Li is one of the College of Engineering winners,
University of Florida Doctor Dissertation Advisor/Mentoring Award for 2013-2014 and 2011-2012. Dr. Tao Li isan IEEE Fellow.
Summary:In recent years, the artificial intelligence (AI) techniques, represented by deep neural networks (DNN), haveemerged as indispensable tools in many fields. Traditionally, due to its huge compute power and scalability, thecloud data center is often the best option for training and evaluating AI applications. With the increasing computingpower and energy efficiency of mobile devices, there is a growing interest in performing AI applications on mobileplatforms. As a result, we believe the next-generation AI applications are pervasive across all platforms, rangingfrom central cloud data center to edge-side wearable and mobile devices.However, we observe several gaps that challenge the pervasive AI applications. First, the large size of such newly
developed AI networks poses both throughput and energy challenges to the underlying processing hardware, whichhinders ubiquitous deployment for many promising AI applications. Second, the traditional statically trained AImodel in cloud data center could not efficiently handle the dynamic data in the real in-situ environments, whichleads to low inference accuracy. Lastly, the training of AI models still involves extensive human efforts to collectand label the large-scale dataset, which becomes impractical in big data era where raw data is largely un-labeled anduncategorized.In this talk, I will present architecture and system support which enables next generation AI applications to
become high efficient and intelligent. I will first introduce Pervasive AI, a user satisfaction-aware deep learninginference framework, to provide the best user satisfaction when migrating AI-based applications from Cloud to allkinds of platforms. Next, I will describe In-situ AI, a novel-computing paradigm tailored to in-situ AI applications.Furthermore, to tackle the big data challenge and achieve real intelligent (support autonomous learning), I willintroduce Unsupervised AI, an unsupervised GAN-based deep learning accelerator.
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IEEE HPCC/SmartCity/DSS-2019
Keynote: Onward and Upward to a New Era in SupercomputingProf. Pavan Balaji, Argonne National Laboratory, USA
About the Keynote Speaker
Dr. Pavan Balaji holds appointments as a Computer Scientist and Group Lead at theArgonne National Laboratory, where he leads the Programming Models and RuntimeSystems group. His research interests include parallel programming models and runtimesystems for communication and I/O on extreme-scale supercomputing systems, modernsystem architecture, cloud computing systems, data-intensive computing, and big-datasciences. He has nearly 200 publications in these areas and has delivered nearly 200 talksand tutorials at various conferences and research institutes. He is a recipient of severalawards including the IEEE TCSC Award for Excellence in Scalable Computing (MiddleCareer) in 2015; TEDxMidwest Emerging Leader award in 2013; U.S. Department ofEnergy Early Career award in 2012; Crain's Chicago 40 under 40 award in 2012; LosAlamos National Laboratory Director's Technical Achievement award in 2005; Ohio StateUniversity Outstanding Researcher award in 2005; best paper awards at ACM HPDC2018, IEEE ScalCom 2013, Euro PVM/MPI 2009, ISC 2009, IEEE Cluster 2008, Euro
PVM/MPI 2008, ISC 2008; best paper finalist at IEEE/ACM SC 2014; best poster award at IEEE ICPADS 2018;best poster finalist at IEEE/ACM SC 2014; and best student poster award at ICPP 2018. He has served as a chair oreditor for nearly 50 journals, conferences and workshops, and as a technical program committee member innumerous conferences and workshops. He is a senior member of the IEEE and a professional member of the ACM.More details about Dr. Balaji are available at http://www.mcs.anl.gov/~balaji.
Summary:Supercomputing systems are used everywhere today. Starting with their humble beginnings as tools for largescientific simulations, supercomputing systems are used in almost all aspects of our daily lives today frominteractions with friends and family to transportation, education, and the general improvement in the quality of ourlives. As we move from the current generation of supercomputers to the next generation of more powerful systems,all the way to Exascale supercomputers, the needs of end users and their applications is increasing and moreimportantly broadening the way in which these systems are used. In this talk I'll discuss some of the new challengesof this new breed of supercomputing applications---such as deep learning, precision medicine and data sciences---and how we need supercomputing systems to evolve to meet these challenges.
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IEEE HPCC/SmartCity/DSS-2019
Keynote: HAO Intelligence: Integrating Human Intelligence and Artificial Intelligence withOrganizational Intelligence
Prof. Xindong Wu, Mininglamp Academy of Sciences, China
About the Keynote Speaker
Dr. Xindong Wu is President of Mininglamp Academy of Sciences, MininglampTechnology, Beijing, and Director of the Key Laboratory of KnowledgeEngineering with Big Data (Hefei University of Technology), Ministry ofEducation, China. He is a Fellow of the IEEE and the AAAS. He holds a PhD inArtificial Intelligence from the University of Edinburgh and Bachelor’s and Master’s degrees in Computer Science from the Hefei University of Technology, China. Dr.Wu ’ s research interests include data mining, Bigdata analytics, knowledgeengineering, and Web systems.Dr. Wu is the Steering Committee Chair of the IEEE International Conference onData Mining (ICDM), the Editor-in-Chief of Knowledge and Information Systems(KAIS, by Springer), the Founding Chair (2002-2006) of the IEEE ComputerSociety Technical Committee on Intelligent Informatics (TCII), and an Editor-in-Chief of the Springer Book Series on Advanced Information and KnowledgeProcessing (AI&KP). He was the Editor-in-Chief of the IEEE Transactions on
Knowledge and Data Engineering (TKDE, by the IEEE Computer Society) between January 1, 2005 and December31, 2008, and is currently a Co-Editor-in-Chief of the ACM Transactions on Knowledge Discovery from Data(TKDD, by ACM). He has served as Program Committee Chair/Co-Chair for ICDM ’03 (the 3rd IEEE InternationalConference on Data Mining), KDD-07 (the 13th ACM SIGKDD International Conference on Knowledge Discoveryand Data Mining), CIKM 2010 (the 19th ACM Conference on Information and Knowledge Management),ASONAM 2014 (the 2014 IEEE/ACM International Conference on Advances in Social Network Analysis andMining), and ICBK 2017 (the 8th IEEE International Conference on Big Knowledge).Professor Wu is the 2004 ACM SIGKDD Service Award winner and the 2006 IEEE ICDM Outstanding ServiceAward winner. He received the 2012 IEEE Computer Society Technical Achievement Award “ for pioneeringcontributions to data mining and applications”, and the 2014 IEEE ICDM 10-Year Highest-Impact Paper Award. Hewon the Best Paper Awards from the 2005 and 2011 IEEE International Conference on Tools with ArtificialIntelligence (ICTAI 2005 & 2011) and the 2012 IEEE/WIC/ACM International Conference on Web Intelligence(WI 2012), and also the IEEE ICDM-2007 Best Theory/Algorithms Paper Runner-Up Award.
Summary:We present a HAO Intelligence framework, which integrates human intelligence (HI), artificial intelligence (AI) andorganizational intelligence, for domain-specific industrial applications. HAO Intelligence starts with Bigdata,discovers Big Knowledge, and facilitates human and machine synergism for complex problem solving. This talkdiscusses Bigdata, Big Knowledge and Big Wisdom, and instantiates HAO Intelligence with a Big Wisdom casestudy for intelligent catering services.
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Summit on High Performance Computing andCommunications for Smart Cities
About the Summit Keynote SpeakersProfessor Geyong Min is the Chair and Director of High-Performance Computing andNetworking (HPCN) Research Group at the University of Exeter, UK. He received thePhD degree in Computing Science from the University of Glasgow, UK, in 2003, andthe B.Sc. degree in Computer Science from Huazhong University of Science andTechnology, China, in 1995. He joined the University of Bradford as a Lecturer in2002, became a Senior Lecturer in 2005 and a Reader in 2007, and was promoted to aProfessor in Computer Science in 2012. His main research interests include ScalableComputing and Networking Systems, Cloud Computing, Mobile Computing, FutureInternet, Wireless Networks, System Modelling and Performance Optimization.
Prof. Min holds a world-class research track record of publications in the topinternational journals and at the prestigious conferences. He has produced more than250 research publications including 2 edited books, 18 book chapters, 5 conference
proceedings, and 100 papers in the leading international journals including IEEE/ACM Transactions.
Prof. Min is an Editorial Board member of 8 international journals including IEEE Transactions on Computers andserves as the Guest Editor for 18 international journals. He has chaired/co-chaired 30 international conferences/workshops and served as the committee member of 120 professional conferences/workshops. He was awarded theOutstanding Leadership Awards from IEEE International conferences HPCC'2012, IUCC'2011, CIT'2010,ScalCom'2009, HPCC'2008 and one Outstanding Service Award from ISPA'2006.
Prof. Min is the Founding Co-Chair of IEEE International Conference on Ubiquitous Computing andCommunications (IUCC), the International Workshop on Performance Modelling, Evaluation, and Optimisation ofParallel and Distributed Systems (PMEO-PDS), and the International Workshop on Performance Analysis andEnhancement of Wireless Networks (PAEMN).
Dr. M. Jamal Deen is Distinguished University Professor (highest rank of a Professor inCanada), Senior Canada Research Chair in Information Technology, and Director of theMicro- and Nano-Systems Laboratory, McMaster University. He served as the electedPresident of the Academy of Science, The Royal Society of Canada in 2015-2017 and isserving as the Past President (2017-2019). His current research interests arenanoelectronics, optoelectronics, nanotechnology, data analytics and their emergingapplications to health and environmental sciences. Dr. Deen’s research record includesmore than 585 peer-reviewed articles (about 20% are invited), two textbooks on “SiliconPhotonics- Fundamentals and Devices” and” Fiber Optic Communications:Fundamentals and Applications”, 12 awarded patents of which 6 were extensively usedin industry, and nineteen best paper/poster/presentation awards. Over his career, he has
won more than seventy-five awards and honors.As an undergraduate student at the University of Guyana, Dr. Deen was the top ranked mathematics and physicsstudent and the second ranked student at the university, winning the Chancellor’s gold medal and the Irving Adlerprize. As a graduate student, he was a Fulbright-Laspau Scholar and an American Vacuum Society Scholar. He is aDistinguished Lecturer of the IEEE Electron Device Society for more than a decade and a half. His awards andhonors include the Callinan Award as well as the Electronics and Photonics Award from the ElectrochemicalSociety; a Humboldt Research Award from the Alexander von Humboldt Foundation; the Eadie Medal from theRoyal Society of Canada; McNaughton Gold Medal (highest award for engineers), the Fessenden Medal and theHam Education Medal (highest award for educators), all from IEEE Canada IEEE Canada In addition, he wasawarded the four honorary doctorate degrees in recognition of his exceptional research and scholarlyaccomplishments, professionalism and service. Dr. Deen has also been elected Fellow status in ten nationalacademies and professional societies including The Royal Society of Canada - The Academies of Arts, Humanities
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and Sciences (the highest honor for academics, scholars and artists in Canada), the Canadian Academy ofEngineering (the highest honor for engineers in Canada) IEEE, APS (American Physical Society) and ECS(Electrochemical Society). Most recently, he was elected to the Order of Canada (July 2018), the highest civilianhonor awarded by the Government of Canada.
Xuemin Lin is a UNSW distinguished Professor - Scientia Professor, and the head of dataand knowledge research group in the school of computer science and engineering atUNSW. Xuemin is a distinguished visiting Professor at Tsinghua University and visitingChair Professor at Fudan University. He is a fellow of IEEE. Xuemin's research interestslie in databases, data mining, algorithms, and complexities. Specifically, he is working inthe areas of scalable processing and mining of large-scale data, including graph, spatial-temporal, streaming, text and uncertain data.
Xuemin currently serves as the editor-in-Chief of IEEE Transactions on Knowledgeand Data Engineering (Jan 2017 - now). He was an associate editor of ACM TransactionsDatabase Systems (2008-2014) and IEEE Transactions on Knowledge and DataEngineering (Feb 2013- Jan 2015), and an associate editor-in-Chief of IEEE Transactionson Knowledge and Data Engineering (2015-2016), respectively. He has been regularly
serving as a PC member and area chairs/SPC in SIGMOD, VLDB, ICDE, ICDM, KDD, CIKM, and EDBT. He is aPC-chair of ICDE2019 and VLDB2022.
Zidong Wang is Professor of Dynamical Systems and Computing at BrunelUniversity London, West London, United Kingdom. He was born in 1966 inYangzhou, Jiangsu, China. He received the BSc degree in Mathematics in 1986from Suzhou University, Suzhou, the MSc degree in Applied Mathematics in 1990and the PhD degree in Electrical and Computer Engineering in 1994, bothfrom Nanjing University of Science and Technology, Nanjing.
Professor Wang's research interests include dynamical systems, signal processing,bioinformatics, control theory and applications. He has published more than 200papers in refereed international journals. He was awarded the Humboldt researchfellowship in 1996 from Alexander von Humboldt Foundation, the JSPS ResearchFellowship in 1998 from Japan Society for the Promotion of Science, and theWilliam Mong Visiting Research Fellowship in 2002 from the University of HongKong. He was a recipient of the State Natural Science Award from the StateCouncil of China in 2014 and the Outstanding Science and Technology
Development Awards (once in 2005 and twice in 1997) from the National Education Committee of China.
Professor Wang is a Fellow of the IEEE (for contributions to networked control and complex networks), a Memberof the IEEE Press Editorial Board, a Member of the EPSRC Peer Review College of the UK, a Fellow of the RoyalStatistical Society, a member of program committee for many international conferences, and a very active reviewerfor many international journals. Professor Wang is currently serving or has served as the Editor-in-Chief forNeurocomputing, Deputy Editor-in-Chief for International Journal of Systems Science, Executive Editor forSystems Science and Control Engineering, Subject Editor for Journal of The Franklin Institute, an Associate Editorfor IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEETransactions on Systems, Man, and Cybernetics - Systems, Asian Journal of Control, Science China InformationSciences, IEEE/CAA Journal of Automatica Sinica.
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Dr. Pavan Balaji holds appointments as a Computer Scientist and Group Lead at theArgonne National Laboratory, where he leads the Programming Models and RuntimeSystems group. His research interests include parallel programming models and runtimesystems for communication and I/O on extreme-scale supercomputing systems, modernsystem architecture, cloud computing systems, data-intensive computing, and big-datasciences. He has nearly 200 publications in these areas and has delivered nearly 200talks and tutorials at various conferences and research institutes. He is a recipient ofseveral awards including the IEEE TCSC Award for Excellence in Scalable Computing(Middle Career) in 2015; TEDxMidwest Emerging Leader award in 2013; U.S.Department of Energy Early Career award in 2012; Crain's Chicago 40 under 40 awardin 2012; Los Alamos National Laboratory Director's Technical Achievement award in2005; Ohio State University Outstanding Researcher award in 2005; best paper awardsat ACM HPDC 2018, IEEE ScalCom 2013, Euro PVM/MPI 2009, ISC 2009, IEEE
Cluster 2008, Euro PVM/MPI 2008, ISC 2008; best paper finalist at IEEE/ACM SC 2014; best poster award atIEEE ICPADS 2018; best poster finalist at IEEE/ACM SC 2014; and best student poster award at ICPP 2018. Hehas served as a chair or editor for nearly 50 journals, conferences and workshops, and as a technical programcommittee member in numerous conferences and workshops. He is a senior member of the IEEE and a professionalmember of the ACM. More details about Dr. Balaji are available at http://www.mcs.anl.gov/~balaji.
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The HPCC 2019 Technical ProgramSaturday August 10, 2019
Session-1A-I: Parallel Algorithms and ApplicationsSession Chair: Zizhong Chen1. An Asynchronous ADMM Algorithm for Distributed Optimization with Dynamic Scheduling Strategy
Shenghong Jiang (Shanghai University), Yongmei Lei (Shanghai University), Shuqing Wang (ShanghaiUniversity), and Dongxia Wang (Shanghai University)
2. A Sharing Path Awareness Scheduling Algorithm for Dataflow ArchitectureYi Li (Institute of Computing Technology), Xu Tan (Institute of Computing Technology), Rui Xue (Institute ofComputing Technology), Xiaochun Ye (Institute of Computing Technology), Wenming Li (Institute ofComputing Technology), Da Wang (Institute of Computing Technology), Hao Zhang (Institute of ComputingTechnology), and Dongrui Fan(Institute of Computing Technology)
3. A Parallel Implementation of a XDraw Viewshed Algorithm with SparkZhang Jianbo (China University of Geosciences), Chen Caikun (China University of Geosciences), LiangTingnan (China University of Geosciences), Xia Hao (China University of Geosciences), and Zhou Simin(China University of Geosciences)
4. A Multi-objective Localization Algorithm with Real Average Distance in WSNPenghong Wang (Complex System and Computational Intelligence Laboratory), Lei Du (Taiyuan Universityof Science and Technology), Zhihua Cui (Taiyuan University of Science and Technology), Xingjuan Cai(Taiyuan University of Science and Technology), and Liping Xie (Taiyuan University of Science andTechnology)
5. A Forwarding Strategy based on Recommendation Algorithm in Named Data NetworkingTianfang Cheng (Liaoning University), Yue Yang (Liaoning University), and Dapeng Qu (Liaoning University)
6. A Heterogeneous Parallel Genetic Algorithm Based on SW26010 ProcessorsYao Liu (East China Normal University), Qidan Liao (East China Normal University), Jun Sun (East ChinaNormal University), Mengtao Hu (East China Normal University), Li Liu (East China Normal University), andLin Zheng (Baidu Inc.)
Session-1B-I: Parallel Data Structures and Algorithms and Computational TuningSession Chair: Dakai Zhu1. A Parallel BMH String Matching Algorithm-based on OpenMP
Xiao Qi (Northwest A&F University), Bin Liu (Northwest A&F University), Yuancheng Li (Xi'an University ofScience and Technology), Yanning Du (Xi'an University of Technology), Yuxiang Li (Henan University ofScience and Technology), and Dangdang Niu (Northwest A&F University)
2. A Lightweight Collective Communication based Parallel Algorithm for the Greedy Point Selection in RBFMesh DeformationRan Zhao (National University of Defense Technology), Chao Li (National University of DefenseTechnology), Xiaowei Guo (National University of Defense Technology), Sijiang Fan (National University ofDefense Technology), Yi Wang (National University of Defense Technology), Yi Liu (National University ofDefense Technology), and Canqun Yang (National University of Defense Technology)
3. A Case Study on the Efficiency of User-level Parallel File SystemsChen Chen (ShanghaiTech University), Jianzhong Liu (ShanghaiTech University), Yanliang Zou(ShanghaiTech University), Tongliang Deng (ShanghaiTech University), Xiaomin Zhu (National Universityof Defense Technology), and Shu Yin (ShanghaiTech University)
4. A Deadline-Constrained Scheduling Algorithm for Scientific Workflows in CloudsShujin Cao (National University of Defense Technology), Kefeng Deng (National University of DefenseTechnology), Kaijun Ren (National University of Defense Technology), Xiaoyong Li (National University ofDefense Technology), Tengfei Nie (National University of Defense Technology), and Junqiang Song(National University of Defense Technology)
5. Performance Modelling and Optimization of Controller Cluster Deployments in Software-Defined WANJinyuan Zhao (Central South University & Hunan Institute of Engineering), Zhigang Hu (Central SouthUniversity), Bing Xiong (Changsha University of Science and Technology), and Meiguang Zheng (CentralSouth University)
6. PDMF: Parallel Dictionary Motif Finder on Multicore and GPU
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Michelle Salomon (California State University, Fresno), Sanjay Soundarajan (California State University,Fresno), and Jin H. Park(California State Univesity, Fresno)
Session-1C-I: Optimizations for Deep LearningSession Chair: Mianxiong Dong1. An Auto Code Generator for Stencil on SW26010
Xiaomin Zhu (Shenzhen Institutes of Advanced Technology), Yunhui Zeng (Shandong Computer ScienceCenter), Yanjie Wei (Shenzhen Institutes of Advanced Technology), Shengzhong Feng (ShenzhenInstitutes of Advanced Technology), Weiguo Liu (Shandong University), and Pavan Balaji (ArgonneNational Laboratory)
2. An Apache Spark-based Platform for Predicting the Performance of Undergraduate StudentThong Le Mai (Ho Chi Minh City University of Technology), Phat Thanh Do (Ho Chi Minh City University ofTechnology), Minh Thanh Chung (Ho Chi Minh City University of Technology), and Nam Thoai (Ho ChiMinh City University of Technology)
3. Accelerating Distributed Training in Heterogeneous Clusters via a Straggler-aware Parameter ServerHuihuang Yu (University of Science and Technology of China), Zongwei Zhu (University of Science andTechnology of China), XiangLan Chen (University of Science and Technology of China), Yuming Cheng(University of Science and Technology of China), Yahui Hu (University of Science and Technology ofChina), and Xi Li (University of Science and Technology of China)
4. Fast Convergence Average Consensus-based Time Synchronization with Innovative ImplementationFanrong Shi (Southwest University of Science and Technology), Xianguo Tuo (Sichuan University ofScience and Engineering), Lili Ran (Southwest University of Science and Technology), Zhenwen Ren(Southwest University of Science and Technology), and Simon X. Yang (University of Guelph)
5. Failure Order: A Missing Piece in Disk Failure Processing of Data CentersYusheng Yi (Huazhong University of Science and Technology), Jiang Xiao (Huazhong University ofScience and Technology), Song Wu (Huazhong University of Science and Technology), Huichuwu Li(Huazhong University of Science and Technology), and Hai Jin (Huazhong University of Science andTechnology)
6. Entropy-based Gradient Compression for Distributed Deep LearningDi Kuang (Sun Yat-sen University), Mengqiang Chen (Sun Yat-sen University), Danyang Xiao (Sun Yat-sen University), and Weigang Wu (Sun Yat-sen University)
Session-1D-I: Machine LearningSession Chair: Xiaokang Zhou1. Inferring Behaviors via Encrypted Video Surveillance Traffic by Machine Learning
Xiaolong Liu (Institute of Information Engineering & University of Chinese Academy of Sciences), JibaoWang (Institute of Information Engineering & University of Chinese Academy of Sciences), Ying Yang(Institute of Information Engineering & University of Chinese Academy of Sciences), Zigang Cao (Instituteof Information Engineering & University of Chinese Academy of Sciences), Gang Xiong (Institute ofInformation Engineering & University of Chinese Academy of Sciences), and Wei Xia (Institute ofInformation Engineering & University of Chinese Academy of Sciences)
2. FPGA Realization of MRC with Optimized Exponent for Adaptive Array AntennasRafic Ayoubi (University of Balamand), Jihad Daba (University of Balamand), and Samir Berjaoui (RafikHariri University)
3. FLONet:Fewer Labeling Cost Active Learning for Deep Neural NetworkXianya Fu (Beihang University), Rui Wang (Beihang University), Peixuan Zuo (Beihang University),Jiaming Zhou (Beihang University), Jia Zhai (Electromagnetic Scattering Laboratory), Xiaodan Xie(Electromagnetic Scattering Laboratory), Zhongzhi Luan (Beihang University), and Depei Qian (BeihangUniversity)
4. Longest Name Prefix Match on Multi-core ProcessorsKe Xu (Hunan University), Dafang Zhang (Hunan University), and Yanbiao Li (Hunan University)
5. Dynamic Scheduling of EDA Scientific Workflows in Hybrid Computing EnvironmentsQinghao Shen (Tianjin University), Ce Yu (Tianjin University), Jian Xiao (Tianjin University), ShanjiangTang (Tianjin University), Xiangfei Meng (National Supercomputer Center Tianjin), and Jianzeng Li(National Supercomputer Center Tianjin)
6. C-MAP: Improving the Effectiveness of Mapping Method for CGRA by Reducing NoC CongestionShuqian An (University of Chinese Academy of Sciences), Mingzhe Zhang (State Key Laboratory ofComputer Architecture), Xiaochun Ye (State Key Laboratory of Computer Architecture), Da Wang (State
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Key Laboratory of Computer Architecture), Hao Zhang (State Key Laboratory of Computer Architecture),Dongrui Fan (State Key Laboratory of Computer Architecture), and Zhimin Tang (State Key Laboratory ofComputer Architecture)
Session-1E-I: Computational AnalysisSession Chair: Xiaokang Wang1. A Comparative Study of Large-scale Cluster Workload Traces via Multiview Analysis
Li Ruan (Beihang University), Xiangrong Xu (Beihang University), Limin Xiao (Beihang University), FengYuan (Institute of Software Application Technology Guangzhou & Chinese Academy of Sciences), Yin Li(Institute of Software Application Technology Guangzhou and Chinese Academy of Sciences), and DongDai (University of North Carolina at Charlotte)
2. A Fault-Tolerant Routing Strategy with Graceful Performance Degradation for Fat-Tree TopologySupercomputerJiaqing Xu (National University of Defense Technology), Dongjing Cai (National University of DefenseTechnology), Jie He (National University of Defense Technology), and Fuqiao Tang (National University ofDefense Technology)
3. Pream: Enhancing HPC Storage System Performance with Pre-allocated Metadata Management MechanismHongbo Li (Sun Yat-Sen University), Peng Cheng (National University of Defense Technology), ZhiguangChen (Sun Yat-Sen University), and Nong Xiao (Sun Yat-Sen University)
4. Budget Constraint Roadside Units Placement for Traffic Flows Monitoring System with Reliability in VehicularNetworksPeng Jiang (Wuhan University of Science and Technology), Peng Li (Wuhan University of Science andTechnology), Tao Zhang (New York Institute of Technology), Weiyi Huang (Wuhan University of Scienceand Technology), Heng He (Wuhan University of Science and Technology), Lei Nie (Wuhan University ofScience and Technology), and Qin Liu (Wuhan University)
5. A Session-Packets-based Encrypted Traffic Classification using Capsule Neural NetworksSusu Cui (Institute of Information Engineering), Bo Jiang (Institute of Information Engineering), ZhenzhenCai (Institute of Information Engineering), Zhigang Lu (Institute of Information Engineering), Song Liu(Institute of Information Engineering), and Jian Liu (Institute of Information Engineering)
6. A Secure Wireless Communication Mechanism based on Multi-WFRFYong Li (Science and Technology on Communication Networks Laboratory & China ElectronicsTechnology Group Corp.) and Zhiqun Song (Harbin Institute of Technology & China ElectronicsTechnology Group Corp.)
Session-1F-I: Applications and ServicesSession Chair: Xu Zhou1. Possibility Theory and Description Logics based New Concept Extraction Approach
Kabil Boukhari (University of Sousse) and Mohamed Nazih Omri (University of Sousse)2. Access-Aware Self-adaptive Data Mapping onto 3D-stacked Hybrid DRAM-PCM based Chip-Multiprocessor
Rakesh Pandey (IIT Guwahati) and Aryabartta Sahu (IIT Guwahati)3. An Efficient Practical Concurrent Wait-Free Unbounded Graph
Sathya Peri (Indian Institute of Technology Hyderabad), Chandra Kiran Reddy (Indian Institute ofTechnology Hyderabad), and Muktikanta Sa (Indian Institute of Technology Hyderabad)
4. DMF: A Dynamic Multi-path Forwarding Strategy for Information Centric NetworksYongmao Ren (Computer Network Information Center), Zhentao Li (Computer Network Information Center& University of Chinese Academy of Sciences), Jun Li (Computer Network Information Center), Yifang Qin(Computer Network Information Center), Haibo Wu (Computer Network Information Center), and Xu Zhou(Computer Network Information Center)
5. A Parallel Crime Activity Clustering Algorithm based on Apache Spark Cloud Computing PlatformKhin Nandar Win (Hunan University), Jianguo Chen (Hunan University), Guoqing Xiao (Hunan University),Yuedan Chen (Hunan University), and Philippe Fournier Viger (Harbin Institute of Technology)
Session-1A-II: SecuritySession Chair: Puming Wang1. Matching-based Channel Assignment for Cooperative Sensing in Full-Duplex Cognitive Radio Networks
Na Wang (Nanjing University of Aeronautics and Astronautics), Kun Zhu (Nanjing University of Aeronauticsand Astronautics), Hongyan Qian (Nanjing University of Aeronautics and Astronautics), Ran Wang (NanjingUniversity of Aeronautics and Astronautics), and Yuanyuan Xu (Hohai University)
2. Efficient Large-scale 1D FFT Vectorization on Multi-core Vector Accelerator
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Zhong Liu (National University of Defense Technology), Xi Tian (National University of DefenseTechnology), Xiaowen Chen (National University of Defense Technology), Yuanwu Lei (National Universityof Defense Technology), and Man Liao (National University of Defense Technology)
3. Detecting Malicious Domains Using Modified SVM ModelJiachen Zhu (Shanghai Jiaotong University) and Futai Zou (Shanghai Jiaotong University)
4. CFADefense: A Security Solution to Detect and Mitigate Crossfire Attacks in Software-Defined IoT-EdgeInfrastructureWajid Rafique (Nanjing University), Xin He (Nanjing University), Zifan Liu (Nanjing University), Yuhu Sun(Nanjing University), and Wanchun Dou (Nanjing University)
5. Bottleneck-aware Task Scheduling Based on Per-Stage and Multi-ML ProfilingTiago Barreto Goes Perez (University of Colorado, Colorado Springs), Xiaobo Zhou (University of Colorado,Colorado Springs), Liu Liu (Tongji University), and Zhijun Ding (Tongji University)
6. A Learning-based Vehicle-Trajectory Generation Method for Vehicular NetworkingLiang Zhao (Shenyang Aerospace University), Yufei Liu (Shenyang Aerospace University), Ahmed Al-Dubai (Edinburgh Napier University), Zhiyuan Tan (Edinburgh Napier University), Geyong Min (Universityof Exeter), and Lexi Xu (China Unicom)
Session-1B-II: CPUs, GPUs and Multi-core ArchitecturesSession Chair: Xianjun Deng1. WMUD: A Whitelist Method of USB Devices Redirection for Virtual Desktop
Xinling Shen (Chinese Academy of Sciences), Nan Li (Chinese Academy of Sciences), Chao Liu (ChineseAcademy of Sciences), and Mengnan Cai (Chinese Academy of Sciences)
2. Feature-Aware Task Scheduling on CPU-FPGA Heterogeneous PlatformsPeilun Du (Beijing University of Posts and Telecommunications), Zichang Sun (Beijing University of Postsand Telecommunications), Haitao Zhang (Beijing University of Posts and Telecommunications), andHuadong Ma (Beijing University of Posts and Telecommunications)
3. An Efficient GPU Implementation Technique for Higher-Order 3D StencilsOmer Anjum (University of Illinois at Urbana-Champaign), Garcia de Gonzalo Simon (University of Illinoisat Urbana-Champaign), Mert Hidayetoglu (University of Illinois at Urbana-Champaign), and Wen-Mei Hwu(University of Illinois at Urbana-Champaign)
4. An efficient design and implementation of Deduplication on Open-Channel SSDsQiqi Hu (Huazhong University of Science and Technology), Jianxi Chen (Huazhong University of Scienceand Technology), Dan Feng (Huazhong University of Science and Technology), Qing Yang (HuazhongUniversity of Science and Technology), and Bo Liu (Hikstor Technology Co., LTD)
5. Address Randomization for Dynamic Memory Allocators on the GPUCan Peng (Hunan University), Chenlin Huang (National University of Defense Technology), Daokun Hu(Hunan University), Di Bang (Hunan University), Jianhua Sun (Hunan University), Hao Chen (HunanUniversity), and Xionghu Zhong (Hunan University)
6. A New Hybrid Approach for C&C Channel DetectionJianguo Jiang (Institute of Information Engineering), Qilei Yin (Institute of Information Engineering), ZhixinShi (Institute of Information Engineering), Qiwen Wang (Institute of Information Engineering), and Wei Zhou(Institute of Information Engineering)
Session-1C-II: HPC SystemsSession Chair: Lingzhi Yi1. Auto-tuning MPI Collective Operations on Large-Scale Parallel Systems
Wenxu Zheng (National University of Defense Technology), Jianbin Fang (National University of DefenseTechnology), Chen Juan (National University of Defense Technology), Feihao Wu (National University ofDefense Technology), Xiaodong Pan (National University of Defense Technology), Hao Wang (NationalUniversity of Defense Technology), Xiaole Sun (National University of Defense Technology), Yuan Yuan(National University of Defense Technology), Min Xie (National University of Defense Technology), ChunHuang (National University of Defense Technology), Tao Tang (National University of DefenseTechnology), and Zheng Wang (Xi’an University of Posts and Telecommunications)
2. An Empirical Study of Chunk Size Variation in DASH SystemBo Wang (Beijing National Research Center for Information Science and Technology & TsinghuaUniversity) and Fengyuan Ren (Beijing National Research Center for Information Science and Technology& Tsinghua University)
3. An Efficient Inter-node Communication System with Lightweight-thread Scheduling
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Takuya Fukuoka (University of Tokyo), Wataru Endo (University of Tokyo), and Kenjiro Taura (University ofTokyo)
4. An Analysis of Holistic Tail Latency Behaviors of Java MicroservicesPasindu Tennage (WSO2 Research), Srinath Perera (WSO2 Research), Malith Jayasinghe (WSO2Research), and Sanath Jayasena (University of Moratuwa)
5. A Robust Throughput Scheme for Bitcoin Network without Block RewardDongli Zhou (Shanghai Jiao Tong University), Na Ruan (Shanghai Jiao Tong University), and Weijia Jia(University of Macau)
6. A Reconfigurable Address Translation Cache for Interconnect Network of High-Performance ComputerJianmin Zhang (National University of Defense Technology), Tiejun Li (National University of DefenseTechnology), and Liquan Xiao (National University of Defense Technology)
Session-1D-II: Image EncryptionSession Chair: Geyong Min1. Neighborhood graph embedding for nodes clustering of social network
Shuliang Xu (Dalian University of Technology), Shenglan Liu (Dalian University of Technology), and LinFeng (Dalian University of Technology)
2. Joint Distortion Estimation and Layer Selection of Unequal Error Protection for SVC Video Transmission overFSO NetworksXingjun Zhang (Xi’an Jiaotong University), Xuan Zhang (Xi’an Jiaotong University), Zhe Fu (Xi’an JiaotongUniversity), Bocheng Yu (Xi’an Jiaotong University), and Scott Fowler (Linköping University)
3. Joint Job Offloading and Resource Allocation for Distributed Deep Learning in Edge ComputingHaichuan Wang (University of Science and Technology of China), Xi Chen (University of Science andTechnology of China), Hongli Xu (University of Science and Technology of China), Jianchun Liu (Universityof Science and Technology of China), and Liusheng Huang (University of Science and Technology ofChina)
4. Efficient Differentiated Storage Architecture for Large-scale Flow Tables in OpenFlow NetworksBing Xiong (Changsha University of Science and Technology), Rengeng Wu (Changsha University ofScience and Technology), Zhuofan Liao (Changsha University of Science and Technology), and Jin Wang(Changsha University of Science and Technology)
5. EdgeCache: A Game-theoretic Edge-based Content Caching System for Crowd Video SharingNathan Vance (University of Notre Dame), Daniel Zhang (University of Notre Dame), and Dong Wang(University of Notre Dame)
6. An RSA based Authentication system for Smart IoT EnvironmentMajid Mumtaz (Tsinghua University), Junaid Akram (Tsinghua University), and Luo Ping (TsinghuaUniversity)
Session-1E-II: High-performance Computing ISession Chair: Yaliang Zhao1. Improving Read Performance of LSM-tree based KV Stores via Dual Grained Caches
Xiang Li (Tianjin University of Technology), Guangping Xu (Tianjin University of Technology), Hao Fan(Tianjin University of Technology), Hongli Lu (Tianjin University of Technology), Bo Tang (Tianjin Universityof Technology), Yanbing Xue (Tianjin University of Technology), and Ziliang Zong (Texas State University)
2. HP-SDDAN:High-Performance Software-Defined Data Access NetworkRuibang You (Institute of Information Engineering & University of Chinese Academy of Sciences), ZimuYuan (Institute of Information Engineering), Bibo Tu (Institute of Information Engineering & University ofChinese Academy of Sciences), and Jie Cheng (Institute of Information Engineering & University ofChinese Academy of Sciences)
3. Energy Efficient Cooperative Edge Computing with Multi-Source Multi-Relay DevicesMianyang Yao (Guangdong University of Technology), Long Chen (Guangdong University of Technology),Tonglai Liu (Guangdong University of Technology), and Jigang Wu (Guangdong University of Technology)
4. Efficient Auction Mechanism for Edge Computing Resource Allocation in Mobile BlockchainXuelian Liu (Guangdong University of Technology), Jigang Wu (Guangdong University of Technology),Long Chen (Guangdong University of Technology), and Chengpeng Xia (Guangdong University ofTechnology)
5. Co-regulatory Functional Module Detection based on Affinity Propagation and Neighborhood InflationRuinan Nie (Hunan University), Jiawei Luo (Hunan University), and Hoang Tu Nguyen (Hanoi University ofIndustry)
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6. Bi-Cluster：A High-performance Data Query Framework for Large-scale Scientific DataYixian Shen (Sun Yat-sen University), Cheng Peng (National University of Defense Technology), Yunfei Du(Sun Yat-sen University), and Yutong Lu (Sun Yat-sen University)
Poster Session I: Memory and File SystemsSession Chair: Zheng Xiao1. A Dynamic Multi-strategies Scheduling Algorithm for Heterogeneous Computing Systems
Xiangyu Lv (Wuhan University of Science and Technology), Wei Hu (Wuhan University of Science andTechnology), and Yonghao Wang (Birmingham City University)
2. ACWB: Access-Characteristic Write Buffer Management Scheme for Flash MemoryLei Zhu (Hunan University), Yan Liu (Hunan University), and Zaimei Zhang (Changsha University ofScience and Technology)
3. A Source Code Analysis Method with Parallel acceleration for Mining MPI Application Communication CountsRui Zhang (Beihang University), Limin Xiao (Beihang University), Baicheng Yan (Beihang University), BingWei (Beihang University), Yi Zhou (Beihang University), and Dong Wang (Beihang University)
4. Chaotic Pilot and Synchronization Encryption of Optical OFDM System Based on Polar CodeYaoqiang Xiao (Hunan University), Caixia Long (Hunan University), Jun Cao (Hunan University), YatingChen (Hunan University), Yi Liu (Hunan University), Jing He (Hunan University), and Zheng Xiao (HunanUniversity)
5. A Bayesian Improved Defense Model for Deceptive Attack in Honeypot-Enabled NetworksRunyu Guan (Hunan University), Lianyang Li (Hunan University), Tao Wang (Hunan University), Yu Qin(Hunan University), Weiming Xiong (Hunan University), and Qin Liu (Hunan University)
6. Extract, Attend, Predict: Aspect-Based Sentiment Analysis with Deep Self-Attention NetworkYiwei Lv (University of Macau), Minghao Hu (National University of Defense Technology), Chao Yang(Hunan University), YuanYan Tang (University of Macau), and Hongjun Wang (Beijing TRS InformationTechnology Co. Ltd.)
7. Hash Hardware Generator Based on Mutual Perturbed Logistic MapYuling Luo (Guangxi Normal University), Shuming Han (Guangxi Normal University), Junxiu Liu (GuangxiNormal University), Zhewei Liang (Guangxi Normal University), and Su Yang (Ulster University)
8. Fusing Syntax and Word Embedding Knowledge for Measuring Semantic SimilarityZhuo Tang (Hunan University), Li Zhu (Hunan University), Yuquan Le (Hunan University), Kenli Li (HunanUniversity), and Colin Cai (Hunan University)
9. Collaborative management system driven by task flow in supercomputing environmentJianzeng Li (National Supercomputer Center Tianjin), Xiangfei Meng (National Supercomputer CenterTianjin), Jian Xiao (Tianjin University), Ting Zhang (National Supercomputer Center Tianjin), Huawen Sun(National Supercomputer Center Tianjin), and Xiuqian Peng (National Supercomputer Center Tianjin)
10. Low-Rate DoS Attack Detection Based on Improved Logistic RegressionYudong Yan (Hunan University), Dan Tang (Hunan University), Sijia Zhan (Hunan University), Rui Dai(Hunan University), Jingwen Chen (Hunan University), and Ningbo Zhu (Hunan University)
11. Design and Implementation of GPU Accelerated Active Storage in FastDFSZaihong He (Hunan University), Jishun Kuang (Hunan University), Yanjie Tan (Hunan University), WenjieLiu (Hunan University), and Bin Sheng (Hunan University)
12. A New Storage Workload Management Model for High-performance I/O SystemsHuang Huang (National University of Defense Technology), You Sheng (Hunan University), and Lu Yutong(Sun Yat-Sen University)
13. Dynamic Multi-Keyword Ranked Search based on Simhash in Cloud ComputingZhen Li (Wuhan University of Technology) and Hanbing Yao (Wuhan University of Technology)
14. Automatic Virtual Network Embedding Based on Deep Reinforcement LearningZhongxia Yan (Institute of Information Engineering & University of Chinese Academy of Science), JingguoGe (Institute of Information Engineering & University of Chinese Academy of Science), Yulei Wu (Universityof Exeter), Hongbo Zheng (Institute of Information Engineering), Liangxiong Li (Institute of InformationEngineering), and Tong Li (Institute of Information Engineering)
15. An Efficient Data Collection Module on Petascale SystemsHuang Huang (National University of Defense Technology), Tong Xiao (Hunan University), Chuanying Li(Hunan University), Can Leng (National University of Defense Technology), and Yutong Lu (Sun Yat-SenUniversity)
16. A Real-time Identification System for VoIP Traffic in Large-scale Networks
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Rongkang Wang (Nankai University), Jianzhong Zhang (Nankai University), Yu Zhang (Nankai University),Mingxin Yin (Nankai University), and Jingdong Xu (Nankai University)
17. HDSO: A High-Performance Dynamic Service Orchestration Algorithm in Hybrid NFV NetworksXiao Liang (Beijing University of Posts and Telecommunications) and Heyao Chen (Beijing University ofPosts and Telecommunications)
18. Attitude Estimation Algorithm of Abnormal Gait Recognition with Dynamic Step Conjugate GradientJing Gao (Northeastern University), Peishang Gu (Northeastern University), Qing Ren (NortheasternUniversity), and Xin Song (Northeastern University)
19. Energy Optimization on Dynamic Multiple Functions Automotive Cyber-Physical SystemsYan Liu (Hunan University), Guoqi Xie (Hunan University), Linlin Jin (Hunan University), and Renfa Li(Hunan University)
20. Building Quick Resource Index List Using WordNet and High-Performance Computing Resource Ontologytowards Efficient Resource DiscoveryAolong Zhou (National University of Defense Technology), Kaijun Ren (National University of DefenseTechnology), Xiaoyong Li (National University of Defense Technology), Wen Zhang (National University ofDefense Technology), and Xiaoli Ren (National University of Defense Technology)
21. Ensemble Learning for Network EmbeddingsBoyu Zhang (Institute of Information Engineering), Ji Xiang (Institute of Information Engineering), and XinWang (Institute of Information Engineering)
22. hpSpMV: A Heterogeneous Parallel Computing Scheme for SpMV on the Sunway TaihuLightSupercomputerYuedan Chen (Hunan University & University of Waterloo), Guoqing Xiao (Hunan University & University ofWaterloo), Zheng Xiao (Hunan University), and Wangdong Yang (Hunan University)
23. High-elasticity Virtual Cluster Placement in Multi-tenant Cloud Data CentersShuaibing Lu (Beijing University of Technology), Jie Wu (Temple University), and Zhiyi Fang (JilinUniversity Changchun)
24. IndexIt: Enhancing Data Locating Services for Parallel File SystemsPeng Cheng (National University of Defense Technology), Yong Wang (Sun Yat-Sen University), YutongLu (Sun Yat-Sen University), Yunfei Du (Sun Yat-Sen University), and Zhiguang Chen (Sun Yat-SenUniversity)
25. Load-Balanced Link Distribution in Mesh-Based Many-Core SystemsZicong Wang (National University of Defense Technology), Xiaowen Chen (National University of DefenseTechnology), Chen Li (National University of Defense Technology), Yang Guo (National University ofDefense Technology), Man Liao (National University of Defense Technology), and Zhong Liu (NationalUniversity of Defense Technology)
26. Multi-Task Learning for Location Prediction with Deep Multi-model EnsemblesRui Zhang (Wuhan University of Technology), Jiming Guo (Wuhan University of Technology), HongboJiang (Hunan University), Peng Xie (Wuhan University of Technology), and Chen Wang (HuazhongUniversity of Science and Technology)
27. Multi-Objective Optimization on Multistage Half-band FIR filter design using Simulated Annealing AlgorithmJin Zhang (Wuhan University of Science and Technology), Wei Hu (Wuhan University of Science andTechnology), Yonghao Wang (Birmingham City University), and Xiangyu Zhu (Birmingham City University)
28. PCA-SVM-based Approach of Detecting Low-rate DoS AttackDongshuo Zhang (Hunan University), Dan Tang (Hunan University), Liu Tang (Hunan University), Rui Dai(Hunan University), Jingwen Chen (Hunan University), and Ningbo Zhu (Hunan University)
Poster Session II: Image ProcessingSession Chair: Zheng Xiao1. Structure Characteristic-aware Pruning Strategy for Convolutional Neural Networks
Peixuan Zuo (BeiHang University), Rui Wang (BeiHang University), Xianya Fu (BeiHang University),Hailong Yang (BeiHang University), Yi Liu (BeiHang University), Lianyi Zhang (Beijing Simulation Center),Han Zhang (Beijing Simulation Center), and Depei Qian (BeiHang University)
2. Authentication and revocation scheme for VANETs based on Chinese remainder theoremMurtadha A. Alazzawi (Huazhong University of Science and Technology), Kai Chen (Huazhong Universityof Science and Technology), Ali A. Yassin (University of Basrah), Hongwei Lu (Huazhong University ofScience and Technology), and Firas Abedi (Islamic University Najaf)
3. Parallel k-dominant Skyline Queries over Uncertain Data Streams with Capability Index
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Xiaoyong Li (National University of Defense Technology), Jun Liu (PLA 91550, China), Kaijun Ren(National University of Defense Technology), Xiaoling Li (National University of Defense Technology),Xiaoli Ren (National University of Defense Technology), and Kefeng Deng (National University of DefenseTechnology)
4. A Pseudo-Random Transform Decomposition Method for Improving the Coding Compression Ratio of TestDataMinghe Zhang (Hunan University), Jishun Kuang (Hunan University), Jing Huang (Hunan University), andZhiqiang You (Hunan University)
5. An Overview of FPGA Based Deep Learning Accelerators: Challenges and OpportunitiesTeng Wang (University of Science and Technology of China), Chao Wang (University of Science andTechnology of China), Xuehai Zhou (University of Science and Technology of China), and Huaping Chen(University of Science and Technology of China)
6. An Enhanced Lightweight Biometric-based Three-factor Anonymous Authentication Protocol for Mobile CloudComputingHaixian Chen (Hunan University), Cheng Xu (Hunan University), Zisang Xu (Hunan University), andXiaohan Tu (Hunan University)
7. Achievable Rates of Full-duplex Massive MIMO Systems with Mixed-ADC/DACXingcheng Yu (Nanjing University of Posts and Telecommunications), Jianxin Dai (Nanjing University ofPosts and Telecommunications), and Jianfeng Shi (Southeast University)
8. Accelerating the LOBPCG method on Sunway TaihuLightTianyu Yu (Computer Network Information Center, CAS), Yonghua Zhao (Computer Network InformationCenter, CAS), and Lian Zhao (Computer Network Information Center, CAS)
9. A Data-driven Three-dimensional RSS Model for Device-free Localization and TrackingGuo-li Wang (Sun Yat-sen University), Xiao-bing Hong (Sun Yat-sen University), Xue-mei Guo (Sun Yat-sen University), and Yuan Fang (Sun Yat-sen University)
10. A Deep Investigation into FastTextJincheng Xu (Tongji University) and Qingfeng Du (Tongji University)
11. A Colour Image Encryption Using Genetic Operators and Generalized Henon Chaotic MappingYuling Luo (Guangxi Normal University), Xue Ouyang (Guangxi Normal University), Junxiu Liu (GuangxiNormal University), and Lvchen Cao (Beijing Institute of Technology)
12. A Budget Constraint Incentive Mechanism in Spatial-Temporal Mobile CrowdsensingXujiao Kong (Wuhan University of Science and Technology), Peng Li (Wuhan University of Science andTechnology), Tao Zhang (New York Institute of Technology), Meimei Tu (Wuhan University of Science andTechnology), and Qin Liu (Wuhan University)
13. Auction-Based Spectrum Leasing for Hybrid Access in Macro-Femto Network with Location SensingHao Xia (Hunan University)
14. APDPk-means: A New Differential Privacy Clustering Algorithm Based on Arithmetic Progression PrivacyBudget AllocationZexuan Fan (Nanjing University of Posts and Telecommunications) and Xiaolong Xu (Nanjing University ofPosts and Telecommunications)
15. Analyzing and Predicting the Popularity of Online Content Using the Weak Ties TheoryXiaomeng Wang (Harbin Institute of Technology), Binxing Fang (Harbin Institute of Technology), HongliZhang (Harbin Institute of Technology), and Xing Wang (Harbin Institute of Technology)
16. An Aging-Aware Routing Algorithm for Improving Reliability in NoC-Based Multicore SystemsLu Yin (Nanjing University of Science and Technology), Yi Zhang (Nanjing University of Science andTechnology), JunLong Zhou (Nanjing University of Science and Technology), Qing Chang (NanjingUniversity of Science and Technology), and Jin Sun (Nanjing University of Science and Technology)
17. An Analysis Method for IPv6 Firewall PolicyYi Yin (Nanjing Normal University), Yuichiro Tateiwa (Nagoya Institute of Technology), Yun Wang(Southeast University), Guoqiang Zhang (Nanjing Normal University), Yoshiaki Katayama (Nagoya Instituteof Technology), Naohisa Takahashi (Nagoya Institute of Technology), and Chao Zhang (China ElectronicsTechnology Group Corp.)
18. An Anonymous Conditional Privacy-preserving Authentication Scheme for VANETsXincheng Li (Yangzhou University), Yali Liu (Jiangsu Normal University), and Xinchun Yin (angzhouUniversity)
19. Microblog Hotspot Discovery Method based on Improved K-means Algorithm
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Qiang Gao (Wuhan University of Technology) and Jing Feng (Wuhan University of Technology)20. Secrecy Rate Analysis for Visible Light Communications Using Spatial Modulation
Hong Ge (Nanjing University of Posts and Telecommunications), Jianxin Dai (Nanjing University of Postsand Telecommunications), Bo Huang (Nanjing University of Posts and Telecommunications), and Jin-YuanWang (Nanjing University of Posts and Telecommunications)
21. TBSW: Time-Based Sliding Window Algorithm for Network Traffic MeasurementZijun Hang (National University of Defense Technology), Yang Shi (National University of DefenseTechnology), Mei Wen (National University of Defense Technology), and Chunyuan Zhang (NationalUniversity of Defense Technology)
22. Swarm Intelligence Optimized Generative Model for Network Performance PredictionChuanqi Jiang (Shandong University), Hua Wang (Shandong University), Jiaxin Yan (Shandong University),Xiaole Li (Shandong University), and Guangli Li (Shandong University)
23. Research on Intelligent Diagnosis Algorithm of Diseases Based on Machine LearningJunhai Zhou (Hunan University), Senlin Wang (Hunan University), Yuanyu He (Hunan University), andZheng Qin (Hunan University)
24. Research on Virtual Machine Layout Strategy Based on Improved Particle Swarm Optimization AlgorithmCaili Wen (Beijing Jiaotong University) and Wenyi Jiang (Beijing Jiaotong University)
25. Time-efficient Task Caching Strategy for Multi-server Mobile Edge Cloud ComputingWeiwei Chen (Hunan University) and Limin Han (Hunan University)
26. Towards a General and Efficient Linked-list Hash Table on GPUsLan Gao (Beihang University), Yunlong Xu (--), Chongyang Xu (Beihang University), Rui Wang (BeihangUniversity), Hailong Yang (Beihang University), Zhongzhi Luan (Beihang University), and Depei Qian(Beihang University)
27. Towards Large-scale Sparse Matrix-Vector Multiplication on the SW26010 Manycore ArchitectureYuedan Chen (Hunan University & University of Waterloo), Guoqing Xiao (Hunan University & University ofWaterloo), Fan Wu (Hunan University), and Zhuo Tang (Hunan University)
28. On Predicting Taxi Movements Modes in Porto city using Classification and Periodic Pattern MiningRami Ibrahim (Carleton University) and M. Omair Shafiq (Carleton University)
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Sunday August 11, 2019
Session-2A-I: Cloud Computing SystemsSession Chair: Liang Zhao1. Game Theoretic Fund Allocation for Maximizing Throughput of Multiserver Systems in Cloud
Tian Wang (Nanjing University of Science and Technology), Gongxuan Zhang (Nanjing University ofScience and Technology), Junlong Zhou (Nanjing University of Science and Technology), Liying Li (EastChina Normal University), Huanhuan Zhang (Nanjing University of Science and Technology), and MingyueZhang (Nanjing University of Science and Technology)
2. FENet/IP: Uncovering the Fine-Grained Structure in IP AddressesFei Du (University of Chinese Academy of Sciences), Xiuguo Bao (National Internet Emergency Center),and Yongzheng Zhang (Institute of Information Engineering)
3. Energy-Efficient Task Scheduling for Heterogeneous Cloud Computing SystemsHui Zhao (Xidian University), Ge Qi (Xidian University), Quan Wang (Xidian University), Jing Wang (XidianUniversity), Pengfei Yang (Xidian University), and Lei Qiao (Beijing Institute of Control Engineering)
4. Distributed Differentially Private Matrix Factorization Based on ADMMErkang Xue (China University of Geosciences), Ruixin Guo (China University of Geosciences), FengZhang (China University of Geosciences), Lizhe Wang (China University of Geosciences), Xiaohan Zhang(China University of Geosciences), and Guangzhi Qu (Oakland University)
5. Accelerating Homomorphic Full Adder based on FHEW Using Multicore CPU and GPUsXinya Lei (China University of Geosciences), Ruixin Guo (China University of Geosciences), Feng Zhang(China University of Geosciences), Lizhe Wang (China University of Geosciences), Rui Xu (ChinaUniversity of Geosciences), and Guangzhi Qu (Oakland University)
6. A Scientific Data Traffic Scheduling Algorithm Based on Software-defined NetworkingYaqiu Zhou (Computer Network Information Center & University of Chinese Academy of Sciences),Yongmao Ren (Computer Network Information Center), Xu Zhou (Computer Network Information Center),Wanghong Yang (Computer Network Information Center & University of Chinese Academy of Sciences),and Yifang Qin (Computer Network Information Center)
Session-2B-I: Large-DataSession Chair: Juan Luo1. Improving the performance of MongoDB with RDMA
Fan Lu (University of Science and Technology of China), Tao Fang (University of Science and Technologyof China), Ziyu Zhang (University of Science and Technology of China), Sen Li (University of Science andTechnology of China), Junshi Chen (University of Science and Technology of China), Hong An (Universityof Science and Technology of China), and Wenting Han (University of Science and Technology of China)
2. NVLevel: A High-Performance Key-Value Store for Non-Volatile MemoryRuicheng Liu (University of Science and Technology of China), Peiquan Jin (University of Science andTechnology of China), Xiaoliang Wang (University of Science and Technology of China), Zhou Zhang(University of Science and Technology of China), Shouhong Wan (University of Science and Technology ofChina), and Bei Hua (University of Science and Technology of China)
3. Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory ArchitecturesBo Wang (Beijing Institute of Technology University), Jie Tang (South China University of Technology), RuiZhang (Yan’an University), Wei Ding (Henan University of Technology), Shaoshan Liu (PerceptIn), andDeyu Qi (South China University of Technology)
4. MDT: A Multi-Description Topic based Clustering Approach for Composite-service DiscoveryRong Hu (Hunan University of Science and Technology), Junjie Chen (Hunan University of Science andTechnology), Jianxun Liu (Hunan University of Science and Technology), and Qifeng Nian (HunanUniversity of Science and Technology)
5. Performance Prediction for the Apache Kafka Messaging SystemHan Wu (Freie Universität Berlin), Zhihao Shang (Freie Universität Berlin), and Katinka Wolter (FreieUniversität Berlin)
6. POEM+: Pricing Longer for Mobile Blockchain Computation Offloading with Edge ComputingYinan Li (Guangdong University of Technology), Jigang Wu (Guangdong University of Technology), andLong Chen (Guangdong University of Technology)
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Session-2C-I: Database SystemsSession Chair: Ju Ren1. PassDB: A Password Database using 3D Bloom Filter
Ripon Patgiri (National Institute of Technology Silchar), Sabuzima Nayak (National Institute of TechnologySilchar), and Samir Kumar Borgohain (National Institute of Technology Silchar)
2. Path-based Routing and Wavelength Assignment for Multiple Multicasts in Optical Network-on-ChipWen Yang (University of Otago), Yawen Chen (University of Otago), Zhiyi Huang (University of Otago),Haibo Zhang (University of Otago), and Huaxi Gu (Xidian University)
3. Parallel PCA-based Bacterial Foraging Optimization Algorithm for Identifying Optimal Precursors of NorthAtlantic Oscillation
Bin Mu (Tongji University), Jing Li (Tongji University), Shijin Yuan (Tongji University), Xiaodan Luo (TongjiUniversity), and Guokun Dai (Fudan University)
4. Adaptive Performance Modeling and Prediction of Applications in Multi-Tenant CloudsHamidreza Moradi (University of Texas at San Antonio), Wei Wang (University of Texas at San Antonio),and Dakai Zhu (University of Texas at San Antonio)
5. Interference-Aware I/O Scheduling for Data-Intensive Applications on Hierarchical HPC Storage SystemsWeihao Liang (University of Science and Technology of China), Yong Chen (Texas Tech University), andHong An (University of Science and Technology of China)
6. Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big DataSahan Ahmad (University of Louisiana at Lafayette), SM Zobaed (University of Louisiana at Lafayette),Raju Gottumukkala (University of Louisiana at Lafayette), and Mohsen Amini Salehi (University ofLouisiana at Lafayette)
Session-2D-I: Data AnalysisSession Chair: Guojun Wang1. The Design and Implementation of Multi-cloud based Distributed Storage Platform with Random Linear
CodingBin He (Soochow University), Jin Wang (Soochow University), Jingya Zhou (Soochow University), LingzhiLi (Soochow University), Wei Zhou (Soochow University), Luqi Zhu (Soochow University), and MengjiaZhai (Soochow University)
2. Resource Usage Prediction of Cloud Workloads Using a Novel Hybrid MethodYuming Cheng (University of Science and Technology of China), Chao Wang (University of Science andTechnology of China), Huihuang Yu (University of Science and Technology of China), Yahui Hu (Universityof Science and Technology of China), and Xuehai Zhou (University of Science and Technology of China)
3. Redesign NAMD molecular dynamics non-bonded force-field on Sunway manycore processorJunshi Chen (University of Science and Technology of China), Hong An (University of Science andTechnology of China), Binghui Yan (University of Science and Technology of China), Weihao Liang(University of Science and Technology of China), and Xin Liu (National Research Center of ParallelComputer Engineering and Technology)
4. Attention-based Neural Network: A Novel Approach for Predicting the Popularity of Online ContentMinh-Tri Nguyen (Ho Chi Minh City University of Technology), Duong H.Le (Ho Chi Minh City University ofTechnology), Takuma Nakajima (TIS Inc.), Masato Yoshimi (TIS Inc.), and Nam Thoai (Ho Chi Minh CityUniversity of Technology)
5. A Parallel Turbo Product Codes Decoder Based on Graphics Processing UnitsXin Zhou (National University of Defense Technology) and Rongchun Li (National University of DefenseTechnology)
6. Characterizations and Architectural Implications of NVM's External DRAM CacheHaiyang Pan (Institute of Computing Technology), Yuhang Liu (Institute of Computing Technology),Tianyue Lu (Institute of Computing Technology), and Mingyu Chen (Institute of Computing Technology)
Session-2E-I: Parallel ProcessingSession Chair: Hui Sun1. The New Copy File Command Parser for NVM Devices
Tao Cai (Jiangsu University), Jie Wang (Jiangsu University), Peiyao Liu (Jiangsu University), Dejiao Niu(Jiangsu University), Qingjian He (Jiangsu University), and Jun Liang (Jiangsu University)
2. swCPD: Optimizing Canonical Polyadic Decomposition on Sunway Manycore ArchitectureMing Dun (Beihang University), Yunchun Li (Beihang University), Hailong Yang (Beihang University), WeiLi (Beihang University), Zhongzhi Luan (Beihang University), and Depei Qian (Beihang University)
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3. SimilarMF: A Social Recommender System Using an Embedding MethodChaoting Xu (University of Science and Technology of China), Kai Han (University of Science andTechnology of China), Fei Gui (University of Science and Technology of China), and Jingxin Xu (Universityof Science and Technology of China)
4. Communication-aware and Energy Saving Virtual Machine Allocation Algorithm in Data CenterJuan Luo (Hunan University), Xin Fan (Hunan University), and Luxiu Yin (Hunan University)
5. APOAL: An Adaptive Parallel Optimization Algorithm for LBM Fluid SimulationsSijiang Fan (National University of Defense Technology), Xiaowei Guo (National University of DefenseTechnology), Chao Li (National University of Defense Technology), Ran Zhao (National University ofDefense Technology), Yi Wang (National University of Defense Technology), Yi Liu (National University ofDefense Technology), and Canqun Yang (National University of Defense Technology)
6. Hermes: Improving Server Utilization by Colocation-Aware Runtime SystemsShenming Liu (Nanjing University), Kaiming Li (Nanjing University), and Hao Huang (Nanjing University)
Session-2A-II: Cloud ComputingSession Chair: Fei Hao1. Real-Time Trajectory Similarity Processing Using Longest Common Subsequence
Jiafeng Ding (Soochow University), Junhua Fang (Soochow University), Zonglei Zhang (SoochowUniversity), Pengpeng Zhao (Soochow University), Jiajie Xu (Soochow University), and Lei Zhao (SoochowUniversity)
2. P-SOBI: A Parallel Implementation for Second Order Blind Identification AlgorithmHongbo Li (Sun Yat-Sen University), Jiangsu Du (Sun Yat-Sen University), Yunfei Du (Sun Yat-SenUniversity), Zhiguang Chen (Sun Yat-Sen University), and Nong Xiao (Sun Yat-Sen University)
3. Data Temperature-Aware Bloom Filters for Flash-Based StorageWei Li (Hunan Unversity), Tianyun Zhang (Hunan University), Dafang Zhang (Hunan University), YupengHu (Hunan University), Kun Xie (Hunan University), and Ting Zhu (University of Maryland, BaltimoreCounty)
4. G-match: A Fast GPU-Friendly Data Compression AlgorithmLi Lu (University of Science and Technology of China) and Bei Hua (University of Science and Technologyof China)
5. Efficient Randomized Feature Selection AlgorithmsZigeng Wang (University of Connecticut) and Sanguthevar Rajasekaran (University of Connecticut)
6. CROA: A Content-Based Recommendation Optimization Algorithm for Personalized Knowledge ServicesXiao Sun (Nanjing University of Posts and Telecommunications), Xiaolong Xu (Nanjing University of Postsand Telecommunications), and Fei Xia (State Grid Jiangsu Electric Power Company)
Session-2B-II: Deep Reinforcement LearningSession Chair: Yulei Wu1. TripletRun: A Dataflow Runtime Simulator and its Performance Model
Han Lin (University of Science and Technology of China), Hong An (University of Science and Technologyof China), Mingfan Li (University of Science and Technology of China), Zeng Lin (University of Science andTechnology of China), Junshi Chen (University of Science and Technology of China), and Wenting Han(University of Science and Technology of China)
2. SLAs-aware Online Task Scheduling based on Deep Reinforcement Learning Method in Cloud EnvironmentLongyu Ran (Chongqing Institute of Green and Intelligent Technology), Xiaoyu Shi (Chongqing Institute ofGreen and Intelligent Technology), and Mingsheng Shang (Chongqing Institute of Green and IntelligentTechnology)
3. Stay of Interest: A Dynamic Spatiotemporal Stay Behavior Perception Method for Private Car UsersJie Chen (Hunan University), Zhu Xiao (Hunan University), Dong Wang (Hunan University), WangchenLong (Hunan University), and Vincent Havyarimana (Ecole Normale Superieure)
4. Accelerating HotSpots in Deep Neural Networks on a CAPI-based FPGAMd Syadus Sefat (Virginia Tech), Semih Aslan (Texas State University), Jeffrey W Kellington (IBMCorporation), and Apan Qasem (Texas State University)
5. A Distributed Class-Incremental Learning Method Based on Neural Network Parameter FusionHongtao Guan (National University of Defense Technology), Yijie Wang (National University of DefenseTechnology), Xingkong Ma (National University of Defense Technology), and Yongmou Li (NationalUniversity of Defense Technology)
6. A 3D Smooth Random Walk Mobility Model for FANETs
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Na Lin (Shenyang Aerospace University), Feng Gao (Shenyang Aerospace University), Liang Zhao(Shenyang Aerospace University), Ahmed Al-Dubai, and Zhiyuan Tan (Edinburgh Napier University)
Session-2C-II: Communications and NetworkingSession Chair: Jigang Wu1. High-Performance Tensor Decoder on GPUs for Wireless Camera Networks in IoT
Hai Li (Shanghai University), Tao Zhang (Shanghai University & Shanghai Institute for AdvancedCommunication and Data Science), Runjia Zhang (Columbia University), and Xiao-Yang Liu (ColumbiaUniversity)
2. High-performance Homomorphic Matrix Completion on GPUsHan Lu (Shanghai University), Tao Zhang (Shanghai University & Shanghai Institute for AdvancedCommunication and Data Science), and Xiao-Yang Liu (Columbia University)
3. Dynamic Multi-objective Optimization Model for Forest Spatial Structure with Environmental DetectionMechanismPeng Chi (National Supercomputing Center Changsha), Kaiwen Zhu (Central South University of Forestryand Technology), Jianjun Li (Central South University of Forestry and Technology), Wei Ai (NationalSupercomputing Center Changsha), Jing Huang (Central South University of Forestry and Technology),and Dongsheng Qing (Central South University of Forestry and Technology)
4. An optimal profit route planning scheme based on ACO-OPPYuhua Qiu (Nanjing University of Posts and Telecommunications), Xiaolong Xu (Nanjing University ofPosts and Telecommunications), and Fei Xia (State Grid Jiangsu Electric Power Company)
5. Comprehensive evaluation of large-scale parallel matrix factorization algorithmsXiaolong Liu (Fujian Agriculture and Forestry University), Ching-Yu Ho (National Chiao Tung University),Sifei Zheng (Fujian Agriculture and Forestry University), and Shyan-Ming Yuan (National Chiao TungUniversity)
6. 2D Henon-Chebyshev chaotic map for image encryptionFei Qi (Beijing University of Posts and Telecommunications), Sijiang Huang (Beijing University of Postsand Telecommunications), Tong Li (Beijing University of Posts and Telecommunications), Haotian Yang(Beijing University of Posts and Telecommunications), and Xuejing Kang (Beijing University of Posts andTelecommunications)
Session-2D-II: Data Storage ISession Chair: Hongtao Guan1. DeepKeyStego: Protecting Communication by Key-dependent Steganography with Deep Networks
Zheng Li (Shandong University), Ge Han (Shandong University), Shanqing Guo (Shandong University),and Chengyu Hu (Shandong University)
2. Efficient Search of the Optimal Prefix and Suffix Invariant Size for Dynamic Time WarpingPeng Zhan (Shandong University), Yupeng Hu (Shandong University), Lin Chen (Shandong University),Wei Luo (Shandong University), and Xueqing Li (Shandong University)
3. Efficient Wear Leveling for PCM/DRAM-based Hybrid MemoryRuicheng Liu (University of Science and Technology of China), Peiquan Jin (University of Science andTechnology of China), Zhangling Wu (University of Science and Technology of China), Xiaoliang Wang(University of Science and Technology of China), Shouhong Wan (University of Science and Technology ofChina), and Bei Hua (University of Science and Technology of China)
4. ERBFT: Efficient and Robust Byzantine Fault ToleranceYingyao Rong (Sun Yat-sen University), Jingjing Zhang (Sun Yat-sen University), Jing Bian (Sun Yat-senUniversity), and Weigang Wu (Sun Yat-sen University)
5. Dynamic Data Access Control for Multi-Authority Cloud StorageJian Wang (Chongqing University), Chunxiao Ye (Chongqing University), and Yangfei Ou (ChongqingUniversity)
6. Towards Efficient Content Discovery in NDN with Enhanced Component-based Bloom FiltersCuiping Zhang (Peking University) and Yunmin Wang (Peking University)
Session-2E-II: Data Storage IISession Chair: Jianzeng Li1. Validating the Accuracy of Analytical Modelling in Software Defined Networks
Jordan Ansell (Victoria University Wellington), Bryan Ng (Victoria University Wellington), and Winston Seah(Victoria University Wellington)
2. Web Information Recommendation Evaluation Model Based on Multifactor Decision Making
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Shunan Ma (Institute of Information Engineering)3. A Unified Malicious Documents Detection Model based on Two Layers of Abstraction
Min Yu (Institute of Information Engineering & University of Chinese Academy of Sciences), Jianguo Jiang(Institute of Information Engineering & University of Chinese Academy of Sciences), Gang Li (DeakinUniversity), Jingyuan Li (Institute of Computing Technology), Chenzhe Lou (Institute of InformationEngineering), Chao Liu (Institute of Information Engineering), Weiqing Huang (Institute of InformationEngineering), and Yuanzhuo Wang (Institute of Computing Technology)
4. PROFPRED: A Compiler-level IR based Performance Prediction Framework for MPI Industrial ApplicationsMeng Hao (Harbin Institute of Technology), Weizhe Zhang (Harbin Institute of Technology), and LaurenceTianruo Yang (St. Francis Xavier University)
5. A Preemption-Based Timely Software Defined Networking Framework for Emergency Response TrafficDeliveryMohamed Rahouti (University of South Florida), Kaiqi Xiong (University of South Florida), Tommy Chin(Rochester Institute of Technology), Peizhao Hu (Rochester Institute of Technology), and Diogo Oliveira(Florida State University)
6. Application-grained Block I/O Analysis for Edge Computational IntelligentFangqi Wan (Hangzhou Dianzi University), Guangjie Han (Hohai University), Gangyong Jia (HangzhouDianzi University), Jian Wan (Zhejiang University of Science and Technology), and Congfeng Jiang(Hangzhou Dianzi University)
Session-2F-II: Smart City IIISession Chair: Sahan Ahmad1. Efficient Parallel Sort on AVX-512-based Multi-core and Many-core Architectures
Zekun Yin (Shandong University), Tianyu Zhang (Shandong University), André Müller (JohannesGutenberg University), Hui Liu (Shandong University), Yanjie Wei (Shenzhen Institutes of AdvancedTechnology), Bertil Schmidt (Johannes Gutenberg University), and Weiguo Liu (Shandong University &National Supercomputing Center)
2. Availability-aware Multi-objective Virtual Cluster Allocation Optimization in Energy-efficient DatacentersXuan Liu (Beijing University of Posts and Telecommunications), Bo Cheng (Beijing University of Posts andTelecommunications), Yingting Li (Beijing University of Posts and Telecommunications), and JunliangChen (Beijing University of Posts and Telecommunications)
Poster Session III: Applications and ServicesSession Chair: Zheng Xiao1. Data Shepherding: a last level cache design for large scale chips
Ganghee Jang (Clarkson University) and Jean-Luc Gaudiot (University of California, Irvine)2. DDLB: A Dynamic and Distributed Load Balancing Strategy
Bingqi Liu (Beihang University), Jiulong Chang (Beihang University), Limin Xiao (Beihang University),Guangjun Qin (Beijing Union University), Bing Wei (Beihang University), and Zhisheng Huo (BeihangUniversity)
3. Design and Implementation of CNN Custom Processor Based on RISC-V ArchitectureZhenhao Li (Wuhan University of Science and Technology), Wei Hu (Wuhan University of Science andTechnology), and Shuang Chen (Wuhan University of Science and Technology)
4. Development and Validation of a Deep Learning Algorithm for the Recognition of Plant DiseaseSijiang Huang (Beijing University of Posts and Telecommunications), Weijie Liu (Peking University), Fei Qi(Beijing University of Posts and Telecommunications), and Kepeng Yang (Beijing University of Posts andTelecommunications)
5. Development of High-performance and Flexible Protocol Handler for International Web AccessesKen T. Murata (National Institute of Information and Communications Technology, Tokyo), PraphanPavarangkoon (National Institute of Information and Communications Technology, Tokyo), Kenji Inoue(Inoue Computer Service Co. Ltd.), Takamichi Mizuhara (CleanLinkTechnology Co. Ltd.), YuyaKagebayashi (CleanLinkTechnology Co. Ltd.), Kazunori Yamamoto (National Institute of Information andCommunications Technology, Tokyo), Kazuya Muranaga (Systems Engineering Consultants Co. Ltd.),Eizen Kimura (National Institute of Public Health, Saitama), and Yoshiaki Nagaya (Ministry of InternalAffairs and Communications, Tokyo)
6. Dynamically Reconfigurable Architecture for High-throughput Hash Function in Key-Value StoreKe Liu (Shandong University), Mengying Zhao (Shandong University), Lei Ju (Shandong University), andZhiping Jia (Shandong University)
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7. ElaX: Provisioning Resource Elastically for Containerized Online Cloud ServicesYanan Yang (TianJin University), Laiping Zhao (TianJin University), Zhigang Li (TianJin University), LihaiNie (TianJin University), Peiqi Chen (TianJin University), and Keqiu Li (TianJin University)
8. Enhanced Style Transfer in Real-time with Histogram-matched Instance NormalizationManman Peng (HuNan University) and Qiang Wu (HuNan University)
9. An Analysis of Anomalous User Agent Strings in Network TrafficJie Chen (Institute of Information Engineering & University of Chinese Academy of Sciences), GaopengGou (Institute of Information Engineering & University of Chinese Academy of Sciences), and Gang Xiong(Institute of Information Engineering & University of Chinese Academy of Sciences)
10. An Adaptive Flow Table Adjustment Algorithm for SDNXiaolong Xu (Nanjing University of Posts and Telecommunications), Liuyun Hu (Nanjing University of Postsand Telecommunications), Haowei Lin (Nanjing University of Posts and Telecommunications), and ZexuanFan (Nanjing University of Posts and Telecommunications)
11. Adaptive Hybrid Transaction Processing with Hardware Transactional MemoryTao He (Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University) andJianxin Li (Beijing Advanced Innovation Center for Big Data and Brain Computing & Beihang University)
12. Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel ProcessingXiangyu Zou (Harbin Institute of Technology), Tao Lu (Marvell Technology Group), Sheng Di (ArgonneNational Laboratory), Dingwen Tao (University of Alabama), Wen Xia (Harbin Institute of Technology),Xuan Wang (Harbin Institute of Technology), Weizhe Zhang (Harbin Institute of Technology), and QingLiao (Harbin Institute of Technology)
13. A latency-sensitive elastic adaptive scheduling in distributed stream computing systemsHanyu He (China University of Geosciences), Dawei Sun (China University of Geosciences), Hongbin Yan(China University of Geosciences), and Shang Gao (Deakin University)
14. A Flow Table with Two-Stage Timeout Mechanism for SDN SwitchesXianfeng Li (Peking University) and Yan Huang (Peking University)
15. A hierarchical clustering strategy of processing class imbalance and its application in fraud detectionYoujun Zhang (Tongji University), Guanjun Liu (Tongji University), Lutao Zheng (Tongji University), andChungang Yan (Tongji University)
16. An Energy-Aware Cognitive Radio-Based Communication Approach for Next Generation WirelessNetworksHaitham Khaled (Edith Cowan University), Iftekhar Ahmad (Edith Cowan University), Daryoush Habibi(Edith Cowan University), and Quoc Viet Phung (Edith Cowan University)
17. A Secure Container Deployment Strategy by Genetic Algorithm to Defend against Co-Resident Attacks inCloud ComputingTong Kong (Institute of Information Engineering & University of Chinese Academy of Sciences), LimingWang (Institute of Information Engineering), Duohe Ma (Institute of Information Engineering), Zhen Xu(Institute of Information Engineering), Qian Yang (Institute of Information Engineering), and Kai Chen(Institute of Information Engineering)
18. A Skeleton Pattern Representation Method for Anomaly Detection in Wireless Sensor NetworksYanping Chen (Xi`an University of Posts and Telecommunications), Ping Yang (Xi`an University of Postsand Telecommunications), Cong Gao (Xi`an University of Posts and Telecommunications), ZhongminWang (Xi`an University of Posts and Telecommunications), and Zhong Yu (Xi`an University of Posts andTelecommunications)
19. A Parallel Computing Optimization Algorithm based on Many-ObjectiveDi Wu (TaiYuan University of Science and Technology), Jiangjiang Zhang (TaiYuan University of Scienceand Technology), Shaojin Geng (TaiYuan University of Science and Technology), Yeqing Ren (TaiYuanUniversity of Science and Technology), Xingjuan Cai (TaiYuan University of Science and Technology), andGuoyou Zhang (TaiYuan University of Science and Technology)
20. A Multi-scale Neural Network for Traffic Sign Detection Based On Pyramid Feature MapsJia Liu (Nanjing University of Science and Technology) and Chongyang Zhang (Nanjing University ofScience and Technology)
21. Improving the Thread Scalability and Parallelism of BWA-MEM on Intel HPC PlatformsXinyuan Li (Computer Network Information Center & University of Chinese Academy of Science), Lin Xu(Intel Corporation), and Jian Zhang (Computer Network Information Center)
22. Image Super-Resolution Model Based on Bypass Convolution and Feature Weighting
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Zhenzhong Pan (University of Science and Technology of China), Yu Zhang (University of Science andTechnology of China), and Xing Guo (University of Science and Technology of China)
23. Image Semantic Segmentation using Deep Convolutional Nets, Fully Connected Conditional Random Fields,and Dilated ConvolutionDegui Xiao (Hunan University) and Pei Zhong (Hunan University)
24. A Regression Prediction Model Based on Incremental Iteration for Big Industrial DataYao Yu (Hunan University), Dajiang Yi (Hunan University), Zhuo Tang (Hunan University), Deyin Ou(Hunan University), Ailing Zeng (Hunan University), and Jingning Li (Hunan University)
25. A Performance-Guaranteed Virtual Machine Migration Strategy in CloudHui Zhao (Xidian University), Quan Wang (Xidian University), Jing Wang (Xidian University), Ge Qi (XidianUniversity), Pengfei Yang (Xidian University), and Lei Qiao (Beijing Institute of Control Engineering)
26. A New Approach for Scheduling Job with The Heterogeneity-aware Resource in HPC SystemsMinh Thanh Chung (Ho Chi Minh City University of Technology), Kien Pham (Ho Chi Minh City Universityof Technology), Nam Thoai (Ho Chi Minh City University of Technology), and Dieter Kranzlmueller (LudwigMaximilian University of Munich)
27. Combined Crowdsourcing Task Auction Mechanism Based on Stable MatchingLanyu Zhang (University of Science and Technology of China), Mingjun Xiao (University of Science andTechnology of China), Hui Zhao (University of Science and Technology of China), and JianChun Liu(University of Science and Technology of China)
28. Compressing Encrypted Images by Using 2D Compressed SensingBo Zhang (Army Engineering University), Di Xiao (Chongqing University), Zhenyu Zhang (ArmyEngineering University), and Lei Yang (Army Engineering University)
Poster Session IV: Optimization AlgorithmsSession Chair: Zheng Xiao1. Fake Reviews Detection Based on Text Feature and Behavior Feature
Yin Shuqin (Wuahn University of Technology) and Feng Jing (Wuahn University of Technology)2. Fast Recovery for Single Link Failure with Segment Routing in SDNs
Shishuang Wang (University of Science and Technology of China), Hongli Xu (University of Science andTechnology of China), Liusheng Huang (University of Science and Technology of China), Xuwei Yang(University of Science and Technology of China), and Jianchun Liu (University of Science and Technologyof China)
3. Asynchronous Block Coordinate Descent Method for Large-Scale Nonconvex Problem in Real World StudyRui Liu (Central South University)
4. Data Reduction through Decision-Making based on Event-Sensitivity in IoT-Enabled Event MonitoringMd Zakirul Alam Bhuiyan (Guangzhou University & Fordham University), Tian Wang (Huaqiao University),Aliuz Zaman (Fordham University), and Guojun Wang (Fordham University)
5. Highly Efficient Breadth-First Search on CPU-based Single-node SystemChenglong Zhang (Institute of Computing Technology), Huawei Cao (Institute of Computing Technology),Xiaochun Ye (Institute of Computing Technology), Guobo Wang (Institute of Computing Technology),Qinfen Hao (Institute of Computing Technology), and Dongrui Fan (Institute of Computing Technology)
6. Exploring Cascaded Write Amplification inLSM-tree based Key-Value Stores with Solid-StateDisksHui Sun (Anhui University), Shangshang Dai (Anhui University), and Jianzhong Huang (HuazhongUniversity of Science and Technology)
7. Recommendation Algorithm Fusing Implicit Similarity of Users and TrustZihui Liu (Southwest University), Hailing Xiong (Southwest University), and Jie Liu (Southwest University)
8. Rigel: A Framework for OpenMP PerformanceTuningPiyumi Rameshka Amarasinghe Baragamage (University of Moratuwa), Pasindu Senanayake (Universityof Moratuwa), Thulana Kannangara (University of Moratuwa), Praveen Seneviratne (University ofMoratuwa), Sanath Jayasena (University of Moratuwa), Tharindu Rusira Patabandi (University of Utah),and Mary Hall (University of Utah)
9. RTMA: Real Time Mining Algorithm for Multi-step Attack Scenarios ReconstructionYu Zhang (Nankai University), Shiman Zhao (Nankai University), and Jianzhong Zhang (Nankai University)
10. S3R5: A Snapshot Storage System based on ROW with Rapid Rollback, Recovery and Read-writeHongzhang Yang (Peking University), Yahui Yang (Peking University), and Yaofeng Tu (ZTE Corporation)
11. Research of Distributed Computing Framework for Foreign Exchange Market Monitoring
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Wenliang Cheng (CFETS Information Technology Shanghai Co. Ltd.), Zhihong Wang (East ChinaUniversity of Science and Technology), Yu Zhou (CFETS Information Technology Shanghai Co. Ltd.), YiGuo (East China University of Science and Technology), and Junfeng Zhao (CFETS InformationTechnology Shanghai Co. Ltd.)
12. Research on Low Delay Audio Convolution Algorithm Combining Mobile and CloudXilong Cai (Wuhan University of Science and Technology), Wei Hu (Wuhan University of Science andTechnology), and Yonghao Wang (Birmingham City University)
13. Real-time Depth Estimation with an Optimized Encoder-decoder Architecture on Embedded DevicesXiaohan Tu (Hunan University), Cheng Xu (Hunan University), Siping Liu (Hunan University), Guoqi Xie(Hunan University), and Renfa Li (Hunan University)
14. Pre-trained language model transfer on Chinese Named Entity RecognitionHuan Zhao (Hunan University), Mingquan Xu (Hunan University), and Jie Cao (Hunan University)
15. Generative Adversarial Networks Based on Denoising and Reconstruction RegularizationLi Yanchun (South China University of Technology) and Xiao Nanfeng (South China University ofTechnology)
16. Research on the 2-Good-Neighbor Conditional Diagnosability of Augmented CubesYang Guo (Guangxi University), Miaojiang Chen (Guangxi University), Jiarong Liang (Guangxi University),and Min Xie (Guangxi University)
17. Research on Water Quality Prediction Based on SARIMA-LSTM：A Case Study of Beilun EstuaryRui Xu (Chongqing University), Qingyu Xiong (Chongqing University), Hualing Yi (Chongqing University),Chao Wu (Chongqing University), and Jianxin Ye (Chongqing University)
18. Multi-Resource Fair Allocation for Cloud FederationGengwei Zhang (Sun Yat-Sen University), Runhao Lu (Sun Yat-Sen University), and Weigang Wu (SunYat-Sen University)
19. Memory-Efficient GPU-based Exact and Parallel Triangle Counting in Large GraphsZhiyou Ouyang (Nanjing University of Posts and Telecommunications), Shanni Wu (Nanjing University ofPosts and Telecommunications), Tongtong Zhao (Nanjing University of Posts and Telecommunications),Dong Yue (Nanjing University of Posts and Telecommunications), and Tengfei Zhang (Nanjing Universityof Posts and Telecommunications)
20. Minimizing SLA Violation and Power Consumption in Cloud Data Centers Using Host State 3-order MarkovChain ModelLianpeng Li (Harbin Institute of Technology), Jian Dong (Harbin Institute of Technology), Decheng Zuo(Harbin Institute of Technology), and Yao Zhao (Harbin Institute of Technology)
21. Mobile Data offloading in the Vehicular Networks: A Truthful Incentive MechanismZhong Enfang (Wuhan University of Science and Technology), Peng Li (Wuhan University of Science andTechnology), Tao Zhang (New York Institute of Technology), Weiyi Huang (Wuhan University of Scienceand Technology), and Qin Liu (Wuhan University of Science and Technology)
22. Multicast Multipath TCP for Reliable Communication in Wireless ScenariosBasharat Ahmad (Tsinghua University), Adnan Khalid Kiani (National University of Sciences andTechnology Islamabad), Sadaqat Ur Rehman (Tsinghua University), Yongfeng Huang (TsinghuaUniversity), and Zhen Yang (Tsinghua University)
23. Multilevel LSTM for Action Recognition Based on Skeleton SequenceHuawei Pan (Hunan University) and Yanru Chen (Hunan University)
24. Word Image Representation Based on Sequence to Sequence Model with Attention Mechanism for Out-of-vocabulary Keyword SpottingHongxi Wei (Inner Mongolia University), Yanke Kang (Inner Mongolia University), and Hui Zhang (InnerMongolia University
25. Unsupervised Dimension Reduction Using Supervised Orthogonal Discriminant Projection for ClusteringLeilei Yan (Soochow University) and Li Zhang (Soochow University)
26. Two Algorithms for Fast Mitigating Multi-Congestion in Software Defined NetworksMeng Sun (National Supercomputer Center Shandong), Xinchang Zhang (National Supercomputer CenterShandong), and Jianwei Zhang (National Supercomputer Center Shandong)
27. Trust-based Distributed Kalman Filter Estimation Fusion under Malicious Cyber AttacksYanping Chen (Xi’an University of Posts and Telecommunications), Long Ma (Xi’an University of Posts andTelecommunications), Hong Xia (Xi’an University of Posts and Telecommunications), Cong Gao (Xi’an
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University of Posts and Telecommunications), Zhongmin Wang (Xi’an University of Posts andTelecommunications), and Zhong Yu (Xi'an University of Posts and Telecommunications)
28. The Implementation and Optimization of Parallel Linpack on Multi-core Vector AcceleratorZhong Liu (National University of Defense Technology), Xi Tian (National University of DefenseTechnology), and Sheng Ma (National University of Defense Technology)
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Monday August 12, 2019
Session-3A-I: Cloud ComputingSession Chair: Takuya Fukuoka1. Exploring the Potential of Elastic Computing Clusters in Geo-distributed Data Centers with Fast FabricInterconnectionShouwei Chen (JD.com Inc. & Rutgers Discovery Informatics Institute), Wensheng Wang (JD.com Inc.),and Ivan Rodero (Rutgers Discovery Informatics Institute)
2. Federated Edge Computing for Disaster Management in Remote Smart Oil FieldsRazin Hussain (University of Louisiana at Lafayette), Mohsen Amini (University of Louisiana at Lafayette),Anna Kovalenko (University of Louisiana at Lafayette), Yin Feng (University of Louisiana at Lafayette), andOmid Semiari (Georgia Southern University)
3. Enhanced Spatial Modulation with Antenna Groupsfor High Speed Railway CommunicationsWutong Wang (Nanjing University of Posts and Telecommunications), Xiaoming Wang (Nanjing Universityof Posts and Telecommunications), and Youyun Xu (Nanjing University of Posts and Telecommunications)
4. LeBo: Improving MPTCP for Delay-Aware Packet Under Heterogeneous NetworksWei Li (Hunan Unversity), Tianyun Zhang (Hunan University), Dafang Zhang (Hunan University), TongShen (Hunan University), Wenzhe Liu (Hunan University), and Guangxing Zhang (Institute of ComputingTechnology)
5. LD-ICN: Towards Latency Deterministic Information-Centric NetworkingTian Pan (Beijing University of Posts and Telecommunications), Cheng Xu (Beijing University of Posts andTelecommunications), Jianhui Lv (Huawei), Qianqian Shi (Beijing University of Posts andTelecommunications), Qing Li (Southern University of Science and Technology), Chenhao Jia (BeijingUniversity of Posts and Telecommunications), Tao Huang (Beijing University of Posts andTelecommunications), and Xingchen Lin (Beijing University of Posts and Telecommunications)
6. HyperPS: A Hypervisor Monitoring Approach Based on Privilege SeparationWenqing Liu (Institute of Information Engineering), Kun Zhang (Institute of Information Engineering), BiboTu (Institute of Information Engineering), and Kunli Lin (Institute of Information Engineering)
Session-3B-I: Information ProcessingSession Chair: Jishun Kuang1. Leveraging SSD's Flexible Address Mapping to Accelerate Data Copy Operations
Fan Ni (University of Texas at Arlington), Xingbo Wu (University of Illinois at Chicago), Weijun Li(Shenzhen Dapu Microelectronics Co. Ltd.), Lei Wang (Beihang University), and Song Jiang (University ofTexas at Arlington)
2. In-Memory Join Algorithms on GPUs for Large-DataChengxin Guo (Renmin University of China) and Hong Chen (Renmin University of China)
3. Interference and Topology-Aware VM Live Migrations in Software-Defined NetworksYiling Qin (East China Normal University), Lun Zhang (East China Normal University), Fei Xu (East ChinaNormal University), and Daidong Luo (Shanghai F7 Networks Technology Inc.)
4. OeIM: An Optoelectronic Interconnection Middleware for the Exascale ComputerEn Shao (Institute of Computing Technology), Guangming Tan (Institute of Computing Technology), ZhanWang (Institute of Computing Technology), and Ninghui Sun (Institute of Computing Technology)
5. Modeling HPC Storage Performance Using Long Short-Term Memory NetworksYoubiao He (Iowa State University), Dong Dai (University of North Carolina at Charlotte), and ForrestSheng Bao (Iowa State University)
6. Large-scale Lattice Boltzmann Method Simulations of Stenosed Carotid BifurcationSen Ge (Shanghai University), Jiang Xie (Shanghai University), Haiya Wang (Shanghai JiaotongUniversity), Cong Zhu (Shanghai University), and Wu Zhang (Shanghai University)
Session-3C-I: CommunicationsSession Chair: Zhufang Kuang1. Optimal Bandwidth Allocation for Data Transmission in Virtual Data Centers
Lisha Chen (Xiamen University), Zejian Kang (Xiamen University), Weining Dai (Xiamen University),Zhemin Zhang (Xiamen University), Cheng Wang (Xiamen University), and Jonathan Li (Xiamen University)
2. ORTF: Open-source Reconfigurable Testing Framework for SDN Switches
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Yue Jiang (National University of Defense Technology), Xiangrui Yang (National University of DefenseTechnology), Hongyi Chen (National University of Defense Technology), Wei Quan (National University ofDefense Technology), Zhigang Sun (National University of Defense Technology), and Gaofeng Lv(National University of Defense Technology)
3. NISU: A Novel Index Structure on Uncertain Data in Large-scale Publish/Subscribe SystemsHuimin Zhou (Tsinghua University), Li Li (Tsinghua University), Qing Li (Southern University of Scienceand Technology & Peng Cheng Laboratory), and Yong Jiang (Tsinghua University & Peng ChengLaboratory)
4. MG-Buffer: A Read/Write-Optimized Multi-Grained Buffer Management Scheme for Database SystemsXiaoliang Wang (University of Science and Technology of China), Peiquan Jin (University of Science andTechnology of China), Ruicheng Liu (University of Science and Technology of China), Zhou Zhang(University of Science and Technology of China), Shouhong Wan (University of Science and Technology ofChina), and Bei Hua (University of Science and Technology of China)
5. MonickerHash: A Decentralized Load-Balancing Algorithm for Resource/Traffic DistributionWubin Li (Ericsson Research) and Fereydoun Farrahi Moghaddam (Ericsson Research)
6. Model Checking CTLK Based on Knowledge-oriented Petri NetsLeifeng He (Tongji University) and Guanjun Liu (Tongji University)
Session-3D-I: Task SchedulingSession Chair: Philip Branch1. QIMS: QoE-centric Information-agnostic Mix-flows Scheduling in SD-WAN
Xiaodong Dong (Tianjin University), Ning Wei (Tianjin University), Xiaobo Zhou (Tianjin University), LaipingZhao (Tianjin University), and Keqiu Li (Tianjin University)
2. QBS-tree: A Spatial Index with High Update Efficiency for Real-time Processing SystemZonglei Zhang (Soochow University), Junhua Fang (Soochow University), Wei Chen (Soochow University),Detian Zhang (Soochow University), An Liu (Soochow University), and Zhixu Li (Soochow University)
3. PrivStream: Enabling Privacy-Preserving Inferences on IoT Data Stream at the EdgeDan Wang (Central South University), Ju Ren (Central South University), Chugui Xu (Central SouthUniversity), Juncheng Liu (Central South University), Zhibo Wang (Wuhan University), Yaoxue Zhang(Central South University), and Xuemin (Sherman) Shen (University of Waterloo)
4. Memory Bandwidth Prediction for HPCApplications in NUMA ArchitectureSolmaz Salehian (Oakland University) and Lunjin Lu (Oakland University)
5. Metaflow: A Better Traffic Abstraction for Distributed ApplicationsYang Shi (National University of Defense Technology), Jiawei Fei (National University of DefenseTechnology), Mei Wen (National University of Defense Technology), Qun Huang (Institute of ComputingTechnology), and Nan Wu (Netforward)
6. Minimum Cost Task Assignment for Vehicle-based Crowdsensing with Deterministic and NondeterministicTrajectory
Meimei Tu (Wuhan University of Science and Technology), Peng Li (Wuhan University of Science andTechnology), Tao Zhang (New York Institute of Technology), Qiang Zhou (Wuhan University of Scienceand Technology), and Qin Liu (Wuhan University)
Session-3E-I: Parallel ArchitecturesSession Chair: Sheng Ma1. SACC: Configuring Application-level Cache Intelligently for In-memory Database Based on Long Short Term
MemoryJiawei Fei (National University of Defense Technology), Yang Shi (National University of DefenseTechnology), Mei Wen (National University of Defense Technology), and Chunyuan Zhang (NationalUniversity of Defense Technology)
2. Three Completely Independent Spanning Trees of Crossed Cubes with Application to Secure-ProtectionRoutingKung-Jui Pai (Ming Chi University of Technology), Ruay-Shiung Chang (National Taipei University ofBusiness), Ro-Yu Wu (Lunghwa University of Science and Technology), and Jou-Ming Chang (NationalTaipei University of Business)
3. Time Series Join on Most Correlated Subsequences using MapReduceLili Chen (TianJin Polytechnic University), ChuiTian Rong (TianJin Polytechnic University), and JinghuaFeng (National University of Defense Technology)
4. SHC: A Method for Stackable Parallel File Systems in Userspace
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Yanliang Zou (ShanghaiTech University), Chen Chen (ShanghaiTech University), Tongliang Deng(ShanghaiTech University), Jian Zhang (ShanghaiTech University), Si Chen (West Chester University),Xiaomin Zhu (National University of Defense Technology), and Shu Yin (ShanghaiTech University)
5. Robust Packet Dropout Compensator Design for Multiple Packet Transmission Networked Control SystemsYu Zhang (Air Force Engineering University), Shousheng Xie (Air Force Engineering University), LitongRen (Air Force Engineering University), and Lei Wang (Air Force Engineering University)
6. Robust and Self-Evolving IDS for In-vehicle Network by Enabling Spatiotemporal InformationJunchao Xiao (Jinggangshan University), Hao Wu (National Computer Network Emergency ResponseTechnical Team), and Xiangxue Li (East China Normal University)
Session-3A-II: Parallel Computing ISession Chair: Muktikanta Sa1. Topology Mapping of Parallel Applications onto Random Allocations
Yao Hu (National Institute of Informatics)2. Tourism Service Recommendation based on User Influence in Social Networks and Time Series
Jianxin Ye (Chongqing University), Qingyu Xiong (Chongqing University), Qiude Li (Chongqing University),Min Gao (Chongqing University), and Rui Xu (Chongqing University)
3. XLCS: A New Bit-Parallel Longest Common Subsequence Algorithm on Xeon Phi ClustersZekun Yin (Shandong University), Hao Zhang (Shandong University), Kai Xu (Shandong University),Yuandong Chan (Shandong University), Shaoliang Peng (National Supercomputing Centre, HunanUniversity, & National University of Defense Technology), Weiguo Liu (Shandong University & NationalSupercomputing Center Wuxi), Bertil Schmidt (Johannes Gutenberg University), and WeiguoLiu(Shandong University)
4. Vertex-disjoint paths in the generalized hypercube under 1-restricted connectivityGuijuan Wang (Soochow University), Cheng-Kuan Lin (Fuzhou University), Jianxi Fan (SoochowUniversity),Baolei Cheng (Soochow University), and Zhao Liu (Soochow University)
5. Tuning Network I/O Processing to Achieve Performance and Energy Objectives of Latency CriticalWorkloadsSambit kumar Shukla (University of California Davis), Dipak Ghosal (University of California Davis), andMatthew Farrens (University of California Davis)
6. Towards Decentralized Equilibrium Asset Trading Based on BlockchainKai Lei (Peking University & Peng Cheng Laboratory), Maoyu Du (Peking University & Peng ChengLaboratory), Liwei Yang (Peking University), Jin Liu (Peng Cheng Laboratory), Jiyue Huang (PekingUniversity & Peng Cheng Laboratory), Danxia Xie (Tsinghua University), and Kuai Xu (Arizona StateUniversity)
Session-3B-II: Parallel Computing IISession Chair: I-Ling Yen1. Parallel Latent Dirichlet Allocation using Vector Processors
Zhongyuan Tian (Hong Kong University of Science and Technology), Harumichi Yokoyama (NECCorporation), and Takuya Araki (NEC Corporation)
2. Parallel Hybrid Join Algorithm on GPUChengxin Guo (Renmin University of China), Hong Chen (Renmin University of China), Feng Zhang(Renmin University of China), and Cuiping Li (Renmin University of China)
3. Parallel computing for large-scale author name disambiguation in MEDLINEAnyao Tang (National University of Defense Technology), Chengkun Wu (National University of DefenseTechnology), Jie Liu (National University of Defense Technology), Wei Wang (National University ofDefense Technology), Xi Yang (National University of Defense Technology), and Yuting Xing (NationalUniversity of Defense Technology)
4. OSTB: Optimizing Fairness and Efficiency for Coflow Scheduling without Prior KnowledgeHandong Qu (Tianjin University), Renhai Xu (Tianjin University), Wenxin Li (Hong Kong University ofScience and Technology), Wenyu Qu (Tianjin University), and Xiaobo Zhou (Tianjin University)
5. N-Storm: Efficient Thread-Level Task Migration in Apache StormZhou Zhang (University of Science and Technology of China), Peiquan Jin (University of Science andTechnology of China), Xiaoliang Wang (University of Science and Technology of China), Ruicheng Liu(University of Science and Technology of China), and Shouhong Wan (University of Science andTechnology of China)
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6. MRDGC: a Parallel Approach for The Identification of Master Regulators based on the Differently ExpressedGenes and the Regulatory Capacity of Regulators
Mingming Sun (Hunan University), Jiawei Luo (Hunan University), and Nguyen Hoang Tu (Hanoi Universityof Industry)
Session-3C-II: Advanced ComputingSession Chair: Wanchun Dou1. Partitioning Large-scale Property Graph for Efficient Distributed Query Processing
Haohan Pang (Huazhong University of Science and Technology), Peng Gan (Huazhong University ofScience and Technology), Pingpeng Yuan (Huazhong University of Science and Technology), Hai Jin(Huazhong University of Science and Technology), and Qiangsheng Hua (Huazhong University of Scienceand Technology)
2. Cost-efficient task scheduling for parallel applications on heterogeneous cloud environmentWeihong Chen (Hunan City University) and Weichu Xiao (Hunan City University)
3. Energy Efficient D2D Mode Selection and Resource Allocation in Multiple Cellular SystemsZhufang Kuang (Central South University of Forestry and Technology), GongQiang Li (Central SouthUniversity of Forestry and Technology), Libang Zhang (Central South University of Forestry andTechnology), Huibin Zhou (Central South University of Forestry and Technology), Changyun Li (KeyLaboratory of Intelligent Information Perception and Processing Technology Hunan), and Anfeng Liu(Central South University)
4. An Offloading Strategy Based on Cloud and Edge Computing for Industrial InternetLei Yang (Hunan University), Zhennan Dai (Hunan University), and Kenli Li (Hunan University)
5. A Fast and Secure GPU Memory AllocatorJiang Wu (Hunan University), Bang Di (Hunan University), Jianhua Sun (Hunan University), Hao Chen(Hunan University), Xionghu Zhong (Hunan University), DaoKun Hu (Hunan University), and ChenlinHuang (National University of Defense Technology)
6. A Secure and Efficient renewable Energy Trading Scheme based on Blockchain in Smart GridXin Lu (North China Electric Power University), Zhitao Guan (North China Electric Power University), XiaoZhou (North China Electric Power University), Xiaojiang Du (Temple University), Longfei Wu (FayettevilleState University), and Mohsen Guizani (University of Idaho)
Session-3D-II: High Performance Computing IISession Chair: Jou-Ming Chang1. Elicitation of Candidate Subspaces in High-dimensional Data
Srikanth Thudumu (Swinburne University of Technology), Philip Branch (Swinburne University ofTechnology), Jiong Jin (Swinburne University of Technology), and Jugdutt (Jack) Singh (Sarawak StateGovernment)
2. A Dynamic Bypass Approach to Realize Power Efficient Network-on-ChipPeng Wang (Leiden University), Sobhan Niknam (Leiden University), Sheng Ma (National University ofDefense Technology), Zhiying Wamg (National University of Defense Technology), and Todor Stefanov(Leiden University)
3. A Temporal Dependency Aware Approach for Scheduling Real-time Tasks on Multi-core PlatformsZijun Han (Oakland University), Guangzhi Qu (Oakland University), Bo Liu (Beijing University ofTechnology), and Feng Zhang (China University of Geosciences)
4. Resource-Aware Availability Enhancement Mechanism of Riak TSFeng Ye (Hohai University), Zihao Liu (Jiangsu University of Science and Technology), Zhijian Wang(Hohai University), Peng Zhang (Jiangsu Water Resources Department), Qian Huang (Hohai University),and Yong Chen (Nanjing Longyuan Micro-Electronic Company)
5. Reliability-aware Controller Placements in Software Defined NetworksYuqi Fan (Hefei University of Technology) and Tao Ouyang (Hefei University of Technology)
6. HFil: A High Accuracy Bloom FilterRipon Patgiri (National Institute of Technology Silchar)
Session-3E-II: Distributed SystemsSession Chair: Chengkun Wu1. Training Design and Two Stage Channel Estimation for Correlated Two-way MIMO Relay Systems Under
Colored DisturbanceHuiming Chen (University of Hong Kong) and Wong-Hing Lam (University of Hong Kong)
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2. TPAoPI:A Thread Partitioning Approach Based on Procedure Importance in Speculative MultithreadingYuxiang Li (Henan University of Science and Technology), Danmei Niu (Henan University of Science andTechnology), Zhiyong Zhang (Henan University of Science and Technology), and Lili Zhang (HenanUniversity of Science and Technology)
3. ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the CloudSM Zobaed (University of Louisiana at Lafayette), Sahan Ahmad (University of Louisiana at Lafayette),Raju Gottumukkala (University of Louisiana at Lafayette), and Mohsen Amini Salehi (University ofLouisiana at Lafayette)
4. Short Cycle Conversion Scheduling Model for Flexilink ArchitectureYi Guo (Wuhan University of Science and Technology), Jing Liu (Wuhan University of Science andTechnology), Yonghao Wang (Birmingham City University), and Wei Hu (Wuhan University of Science andTechnology)
5. Optimal Anchor Placement for Localization in Large-scale Wireless Sensor NetworksShifeng Du (Inner Mongolia University), Baoqi Huang (Inner Mongolia University), Bing Jia (Inner MongoliaUniversity), and Wuyungerile Li (Inner Mongolia University)
6. swFLOW: A Dataflow Deep Learning Framework on Sunway TaihuLight SupercomputerHan Lin (University of Science and Technology of China), Zeng Lin (University of Science and Technologyof China), Jose Monsalve Diaz (University of Delaware), Mingfan Li (University of Science and Technologyof China), Hong An (University of Science and Technology of China), and Guang R. Gao (University ofDelaware)
Poster Session V: Applications and ServicesSession Chair: Zheng Xiao1. Data Management across Geographically-Distributed Autonomous Systems: Architecture, Implementation,
and Performance EvaluationDawei Sun (China University of Geosciences), Guangyan Zhang (Tsinghua University), and Shang Gao(Deakin University)
2. PSOGT: PSO and Game Theoretic based Task Allocation in Mobile Edge ComputingXinghan Wang (Guilin University of Electronic Technology), Xiaoxiong Zhong (Peng Cheng Laboratory), LiLi (Tsinghua University), Renhao Lu (Guilin University of Electronic Technology), and Yanbin Zheng (GuilinUniversity of Electronic Technology)
3. Traffic Classification and Application Identification based on Machine Learning in Large-scaleSupercomputing CenterShilin Zhao (Shenzhen Institutes of Advanced Technology), Kejiang Ye (Shenzhen Institutes of AdvancedTechnology), and Cheng-Zhong Xu (University of Macau)
4. A New Power Load Forecasting Model (SIndRNN): Independently Recurrent Neural Network Based onSoftmax Kernel FunctionShaofei Lu (Hunan University), Qian Zeng (Hunan University), Heng Wu (Oklahoma State University),Jinshu Su (University of Defense Technology), Xuchong Liu (Hunan Police Academy), and Hongliang Tang(Earthquake Administration Hunan Province)
5. LHCnn:A Novel Efficient Multivariate Time Series Prediction Framework utilizing Convolutional NeuralNetworksChengxi Liu (Hunan University), Kenli Li (Hunan University), Jing Liu (Wuhan University of Science andTechnology), and Cen Chen (Hunan University)
6. Tensor: A Transaction-Oriented Low-Latency and Reliable Data Distribution Scheme for Multi-IDCs Based onRedisZhongyi Zhang (Institute of Information Engineering & University of Chinese Academy of Sciences), ChaoZheng (Institute of Information Engineering), Wei Yang (Institute of Information Engineering), Yang Liu(Institute of Information Engineering), Rong Yang (Institute of Information Engineering), and Qingyun Liu(Institute of Information Engineering)
7. t-Diagnosability and Conditional Diagnosability of BCube NetworksHaiping Huang (Nanjing University of Posts and Telecommunications), Yuhao Chen (Nanjing University ofPosts and Telecommunications), Xiping Liu (Nanjing University of Posts and Telecommunications), ZhijieHan (Nanjing University of Posts and Telecommunications), and Fu Xiao (Nanjing University of Posts andTelecommunications)
8. Statistical Analysis for Detection of Sensitive Data using Hadoop Clusters
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Binod Kumar Adhikari (Jilin University), Wanli Zuo (Jilin University), Ramesh Maharjan (TribhuvanUniversity), Xuming Han (Changchun University of Technology), Prakash Bahadur Amatya (TribhuvanUniversity), and Wajid Ali (Jilin University)
9. Task Scheduling in Mobile Edge Computing with Stochastic Requests and M/M/1 ServersLuo Yuchong (Guangdong University of Technology), Wu Jigang (Guangdong University of Technology),Wu Yalan (Guangdong University of Technology), and Chen Long (Guangdong University of Technology)
10. Super-resolution-based Traffic Prohibitory Sign RecognitionDegui Xiao (Hunan University) and Liang Liu (Hunan University)
11. Multi-scale Convolutional Neural Networks for Scene RecognitionZheng Yi (Hunan University) and HanLing Zhang (Hunan University)
12. Online Internet Traffic Anomaly DetectionZhenping Shi (Shanghai Jiao Tong University), Jie Li (Shanghai Jiao Tong University), Chentao Wu(Shanghai Jiao Tong University), and Jinyuan Li (Shanghai Jiao Tong University)
13. Optimization of A Network Retrograde Analysis System Implemented On HDFSXiaofang Yuan (Hunan University) and Wubin Zhang (Hunan University)
14. Secure and Balanced Scheme for Non-local Data Storage in Blockchain NetworkTonglai Liu (Guangdong University of Technology), Jigang Wu (Guangdong University of Technology),Jiaxing Li (Guangdong University of Technology), and Jingyi Li (Guangdong University of Technology)
15. Machine Learning Based CloudBot Detection Using Multi-layer Traffic StatisticsYu Guo (Institute of Information Engineering & University of Chinese Academy of Sciences), Junzheng Shi(Institute of Information Engineering & University of Chinese Academy of Sciences), Zigang Cao (Instituteof Information Engineering & University of Chinese Academy of Sciences), Cuicui Kang (Institute ofInformation Engineering & University of Chinese Academy of Sciences), Gang Xiong (Institute ofInformation Engineering & University of Chinese Academy of Sciences), and Zhen Li (Institute ofInformation Engineering & University of Chinese Academy of Sciences)
16. Hybrid Fault Tolerance Model for Cloud DependabilityMeriem Azaiez (SOIE-COSMOS Laboratory), Walid Chainbi (Université de Sousse & Ecole Nationaled'Ingénieurs de Sousse), and Khaled Ghedira (SOIE-COSMOS Laboratory)
17. DLS: A Delay-Life-Aware I/O Scheduler to Improve the Load Balancing of SSD-based RAID-5 ArraysGuohua Yan (Tianjin University), Renhai Chen (Tianjin University), Qiming Guan (Tianjin University), andZhiyong Feng (Tianjin University)
18. Direction of Arrival Estimation Method Based on First-Order Differential Microphone ArrayJuntong Yang (Northeastern University), Zhigang Liu (Northeastern University), Haoyang Qi (NortheasternUniversity), and Shengyuan Qi (Northeastern University)
19. Bandwidth Reservation for Data Transfers Through Multiple Disjoint Paths of Dynamic HPNsLiudong Zuo (California State University, Dominguez Hills), Michelle Zhu (Montclair State University),Chase Wu (New Jersey Institute of Technology), Aiqin Hou (Northwest University), and Lei Cao (CaliforniaState University, Dominguez Hills)
20. CnnSV-typer: Calling of Structural Variation Genotype Based on CUDA AccelerationRuofei Bai (Beijing University of Chemical Technology), Liwei Gao (China Japan Friendship Hospital),Cheng Ling (Beijing University of Chemical Technology), and Jingyang Gao (Beijing University of ChemicalTechnology)
21. Maximizing Revenue with Adaptive Modulation and Multiple FEC in Flexible Optical NetworksCao Chen (Shanghai Jiao Tong University, University of Avignon, & Institut Supérieur d'Electronique deParis), Fen Zhou (Institut Supérieur d'Electronique de Paris & University of Avignon), and Shilin Xiao(Shanghai Jiao Tong University)
22. A Joint TDOA, FDOA and Doppler Rate Parameters Estimation Method and Its Performance AnalysisDexiu Hu (PLA Strategic Support Force Information Engineering University), Liping Luo (PLA StrategicSupport Force Information Engineering University), Donghua Huang (PLA Strategic Support ForceInformation Engineering University), and Shiwen Chen (PLA Strategic Support Force InformationEngineering University)
23. Cloud Computing: Scope for Human Development and Inclination Towards Fog ComputingMohsin Khalil (National University of Sciences and Technology, Islamabad), Zaheer Shamsi (NationalUniversity of Sciences and Technology, Islamabad), Farid Ullah Khan (Air University, Islamabad), andMuhammad Atif Shahzad (National University of Sciences and Technology, Islamabad)
24. A Multi-block Grids Load Balancing Algorithm with Improved Block Partitioning Strategy
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Hantao Xiong (Hunan University), Kenli Li (Hunan University), Xu Liu (Institute of Applied Physics andComputational Mathematics), and Keqin Li (State University of New York)
25. Adoption of Gene-Disease Identification and Recognition Phenotype Process in High-PerformanceComputing and Applications ResearchAlshreef Abed (Wuhan University of Technology), Jingling Yuan (Wuhan University of Technology), Lin Li(Wuhan University of Technology), and Mesmin Junior Mbyamm K. (Beijing University of Technology)
26. Wear-leveling Aware Data Allocation for Chip Multiprocessors with Non-Volatile MemoryZheng Xiao (Hunan University), Bangyong Wang (Hunan University), Jiayi Du (Central South University ofForestry and Technology), and Chao Wang (Central South University of Forestry and Technology)
27. Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and DetectingAnomaliesZongze Li (University of North Texas), Song Fu (University of North Texas), Sean Blanchard (Los AlamosNational Laboratory), and Michael Lang (Los Alamos National Laboratory)
28. Co-locating Online Workload and Offline Workload in the Cloud: An Interference AnalysisWenyan Chen (Shenzhen Institutes of Advanced Technology), Kejiang Ye (Shenzhen Institutes ofAdvanced Technology), and Cheng-Zhong Xu (University of Macau)
Poster Session VI: Optimization AlgorithmsSession Chair: Zheng Xiao1. Parallel DNA Computing Model of Point-doubling in Conic Curves Cryptosystem over Finite Field GF(2^n)
Yongnan Li (People's Public Security University of China) and Limin Xiao (Beihang University)2. Accelerating HPC Applications Using Computational Storage Devices
Mahdi Torabzadehkashi (University of California, Irvine & NGD Systems, Inc.), Ali Heydarigorji (Universityof California, Irvine), Siavash Rezaei (University of California, Irvine & NGD Systems, Inc.), HoseinBobarshad (NGD Systems, Inc.), Vladimir Alves (NGD Systems, Inc.), and Nader Bagherzadeh (Universityof California, Irvine)
3. Joint Offloading and Frequency Scaling technology for Mobile Edge ComputingJie Liang (Hunan University), Chubo Liu (Hunan University), Guanghua Tan (Hunan University), and LeiYang (Hunan University)
4. K-means Parallel Acceleration for Sparse Data Dimensions on FlinkZihao Zeng (Hunan University), Kenli Li (Hunan University), Mingxing Duan (Hunan University), Chubo Liu(Hunan University), and Xiangke Liao (National University of Defense Technology)
5. Parallelization Planning for Legacy Programs: A Multi-objective Genetic Algorithm ApproachZijun Han (Oakland University), Guangzhi Qu (Oakland University), Bo Liu (Beijing University ofTechnology), and Feng Zhang (China University of Geosciences)
6. Nanily: A QoS-Aware Scheduling for DNN Inference Workload in CloudsXuehai Tang (Chinese Academy of Sciences), Peng Wang (Chinese Academy of Sciences), Qiuyang Liu(Chinese Academy of Sciences), Wang Wang (Chinese Academy of Sciences), and Jizhong Han (ChineseAcademy of Sciences)
7. A Face Privacy Protection Scheme Using CNN Based ROI EditingFei Peng (Hunan University), Guo-lou Ping (Hunan University), and Shuang-kui Ge (Beijing Institute ofElectronic Technology Application)
8. Load Balancing for Multi-physics SimulationsChunsen Chen (Hunan University), Kenli Li (Hunan University), Xu Liu (Institute of Applied Physics andComputational Mathematics), and Keqin Li (State University of New York)
9. QOBST: An Adaptable Matching Model for Content-based Pub/Sub SystemsHong Ding (University of Chinese Academy of Sciences), Chuang Zhang (Chinese Academy of Sciences),and Xiaojun Chen (Chinese Academy of Sciences)
10. Real-time Search Method for Large-scale Regional Targets Based on Parallel Google S2 AlgorithmFan Wu (Hunan University), Qijie Feng (Hunan University), and XiaoYong Tang (Hunan AgriculturalUniversity)
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The Smart City 2019 Technical Program
Saturday August 10, 2019
Session-1F-II: Smart City ISession Chair: Yong Chen1. EdgeStore: Towards an Edge-based Distributed Storage System for Emergency Response
Md Tahmid Rashid (University of Notre Dame), Daniel (Yue) Zhang (University of Notre Dame), and DongWang (University of Notre Dame)
2. DenseNet+Inception and Its Application for Electronic Transaction Fraud DetectionZhuo Chen (Tongji University) and Guanjun Liu (Tongji University)
3. An experimental study of building user profiles for movie recommender systemPavel Stakhiyevich (Shaanxi Normal University) and Zhao Huang (Shaanxi Normal University)
4. Toward Data Discovery in Dynamic Smart City ApplicationsHessam Moeini (University of Texas at Dallas), Wenxi Zeng (University of Texas at Dallas), I-Ling Yen(University of Texas at Dallas), and Farokh Bastani (University of Texas at Dallas)
5. IMCR: Influence Maximisation-based Cluster Routing Algorithm for SDVNChengcheng Wang (Shenyang Aerospace University), Xingjian Ma (Shenyang Aerospace University),Wenwen Jiang (Shenyang Aerospace University), Liang Zhao (Shenyang Aerospace University), Na Lin(Shenyang Aerospace University), and Junling Shi (Shenyang Aerospace University)
6. Exploring the performance of Singularity for High Performance Computing ScenariosGuangchao Hu (Lanzhou University), Yang Zhang (Lanzhou University), and Wenbo Chen (LanzhouUniversity)
Sunday August 11, 2019
Session-2F-I: Smart City IISession Chair: Bing Xiong1. A Comparative Analysis of Journey Time from Google Maps and Intelligent Transport System in Hong Kong
Zhixiang He (City University of Hong Kong), Chi-Yin Chow (City University of Hong Kong), and Jia-DongZhang (City University of Hong Kong)
2. The Study of Web Service Discovery: A Clustering and Differential Evolution Algorithm ApproachZhao Huang (Shaanxi Normal University) and Wei Zhao (Shaanxi Normal University)
3. Task Assignment Method in Spatial Crowdsourcing based on Graph SearchFanchao Meng (Harbin Institute of Technology at Weihai), Shuo Zhang (Harbin Institute of Technology atWeihai), Xuanchi Zheng (Harbin Institute of Technology at Weihai), and Shanxin Sun (Harbin Institute ofTechnology at Weihai)
4. Influential Attribute Community SearchXiaoqin Xie (Harbin Engineering University), Chiming Liu (Harbin Engineering University), Jiaming Zhang(Harbin Engineering University), and Jiahui Li (Harbin Engineering University)
5. A Sustainable Strategy for Multi-cloud Service Composition based on Formal Concept AnalysisBeibei Pang (Shaanxi Normal University), Yixuan Yang (Shaanxi Normal University), and Fei Hao (ShaanxiNormal University)
6. A New Fuzzy-TOPSIS Based Risk Decision Making Framework for Dangerous Good TransportationHassan Kanj (American University of the Middle East) and Pierre Abi-Char (American University of theMiddle East)
Session-2F-II: Smart City IIISession Chair: Sahan Ahmad1. The Optimal Layout of Fireproof Sensor Network based on Improved Cuckoo Algorithm on Mountainous
Forest LandYanan Gao (Beijing Forestry University), Jiao Long (Beijing Forestry University), and Jianxin Wang (BeijingForestry University)
2. Towards Optimal Incentive-driven Verification in Social Sensing based Smart City Applications
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Nathan Vance (University of Notre Dame), Daniel Zhang (University of Notre Dame), Yang Zhang(University of Notre Dame), and Dong Wang (University of Notre Dame)
3. Energy Distribution in EV Energy Network under Energy ShortageBaixi Lai (Shanghai Jiao Tong University), Ping Yi (Shanghai Jiao Tong University), Yu Sui (Shanghai JiaoTong University), and Qingquan Zhang (University of Illinois, Urbana Champaign)
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The Smart City 2019 Technical Program
Monday August 12, 2019
Poster Session VI: Optimization AlgorithmsSession Chair: Zheng Xiao1. Multi-Objective Power Optimization for Full Duplex System based on Chebyshev Weighting
Peng Xu (Shenyang Aerospace University), Guangli Liu (Northeastern University), Jing Gao (NortheasternUniversity), and Peishang Gu (Northeastern University)
2. Let’s Meet: A Smartphone Co-navigation System based on Relative Direction and Proximity Change forIndoor EnvironmentsWensong Li (Huazhong University of Science and Technology), Ying Chen (Huazhong University ofScience and Technology), Chanxin Zhou (Huazhong University of Science and Technology), and BangWang (Huazhong University of Science and Technology)
3. A Recovery Path Selection Algorithm Using Gray Comprehensive Evaluation for SDN Data Plane FailuresJunying Wu (University of Science and Technology Beijing), Yunfeng Peng (University of Science andTechnology Beijing), Meng Song (University of Science and Technology Beijing), and Liang Zhang(University of Science and Technology Beijing)
4. An Anti-Occlusion Correlation Filter Algorithm for Visual TrackingShengyuan Qi (Northeastern University), Zhigang Liu (Northeastern University), Juan Zhang (NortheasternUniversity), Lei Wang (Northeastern University), and Juntong Yang (Northeastern University)
5. A Simple and Efficient Link Adaptation Method for Narrowband Internet of ThingsQing-Sheng Hu (Southeast University), Xiang-Ning Fan (Southeast University), and Zhi-Yong Li (SoutheastUniversity)
6. Adaptive Resource Management for Mission-Critical Cyber-Physical SystemsJing Hu (Wuhan Qingchuan University), Mengjia Yin (Hubei Engineering University), Yuanhua Yang(Wuhan University), and Zhaohui Yuan (East China Jiaotong University)
7. Social Relationship Modeling and Community Detection Base on Trajectory DataLiang Zhao (Huazhong Agricultural University), Fuchuan Ni (Huazhong Agricultural University), Xing Jin(Huazhong Agricultural University), and Li Qin (Huazhong Agricultural University)
8. Recurrent Neural Network Based Password Generation for Group Attribute Context-ware ApplicationsJun Luo (Ministry of Public Security), Jin Deng (Beijing Public Security Bureau), Chu Lu (East ChinaNormal University), and Hong Liu (East China Normal University)
9. ETCS: An Efficient Traffic Congestion Scheduling Scheme Combined with Edge ComputingAo Cao (Hunan University), Bin Fu (Hunan University), and Zhenqian He (Hunan University)
10. Progressively-Refined Tree Search for Container Loading ProblemYan Wang (Hong Kong Applied Science and Technology Research Institute), Hailiang Li (Hong KongApplied Science and Technology Research Institute), Zhibin Lei (Hong Kong Applied Science andTechnology Research Institute), Danpeng Ma (SAIC Anji Technology Co. Ltd.), and Yang Fang (SAIC AnjiTechnology Co. Ltd.)
11. Analysis on Temperature Dependency of Effective AC Conductor Resistance of Underground Cables forDynamic Line Ratings in Smart GridsHideharu Sugihara (Osaka University) and Tsuyoshi Funaki (Osaka University)
12. An Analysis of Pedestrians' Behavior in Emergency Evacuation Using Cellular Automata SimulationZhiguo Zhou (Wuhan University), Huiyu Cai (Wuhan University), and Zhixuan Zhou (Wuhan University)
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The DSS 2019 Technical Program
Monday August 12, 2019
Session-3F-I: Data Science and SystemsSession Chair: Rongchun Li1. Sausage Quality Classification of Hyperspectral Multi-data Fusion Based on Machine Learning
Hongbing Xiao (Beijing Technology and Business University), Peiyuan Guo (Beijing Technology andBusiness University), Suxia Xing (Beijing Technology and Business University), Mei Sun (BeijingTechnology and Business University), Xiaodong Dong (Beijing Technology and Business University), andMan Bao (Beijing Technology and Business University)
2. How to Fast Verify Collatz Conjecture by AutomataWei Ren (China University of Geosciences Wuhan) and Ruiyang Xiao (China University of GeosciencesWuhan)
3. Stacking-based Ensemble Learning on Low Dimensional Features for Fake News DetectionSongqian Li (University of Jinan), Kun Ma (University of Jinan), Xuewei Niu (University of Jinan), YufengWang (University of Jinan), Ke Ji (University of Jinan), Ziqiang Yu (University of Jinan), and ZhenxiangChen (University of Jinan)
4. NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical andHealthcare Data AnalysisStephen Billings (University of Sheffield) and Hua-Liang Wei (University of Sheffield)
5. Seeded-BTM: Enabling Biterm Topic Model with Seeds for Product Aspect MiningNing Li (City University of Hong Kong), Chi-Yin Chow (City University of Hong Kong), and Jia-Dong Zhang(City University of Hong Kong)
6. Checkpointing in Practice for Memory-Efficient Training on the EdgeNaveen E (Indian Institute of Technology Madras) and Pratyush Kumar (Indian Institute of TechnologyMadras)
7. On Test Case Prioritization Using Ant Colony Optimization AlgorithmWeixiang Zhang (Beijing Institute of Tracking and Telecommunications Technology), Yuhua Qi (BeijingInstitute of Tracking and Telecommunications Technology), Xuebo Zhang (Space Engineering University),Bo Wei (Beijing Institute of Tracking and Telecommunications Technology), Min Zhang (Beijing Institute ofTracking and Telecommunications Technology), and Zhaohui Dou (Beijing Institute of Tracking andTelecommunications Technology)
Session-3F-II: Optimization AlgorithmsSession Chair: Jing Liu1. RadixKV: A Memory Efficient and High-Performance Key-Value Store
Zhou Zhang (University of Science and Technology of China), Peiquan Jin (University of Science andTechnology of China), Xingjun Hao (University of Science and Technology of China), Ruicheng Liu(University of Science and Technology of China), Xiaoliang Wang (University of Science and Technologyof China), and Shouhong Wan (University of Science and Technology of China)
2. An Efficient Parallel High Utility Sequential Pattern Mining AlgorithmWenhua Sun (Beijing University of Posts and Telecommunications), Xiaojuan Wang (Beijing University ofPosts and Telecommunications), and Lei Jin (Beijing University of Posts and Telecommunications)
3. A Multi-objective Evolutionary Algorithm for Multimedia Traffic ClassificationYuning Dong (Nanjing University of Posts and Telecommunication) Ren-lei Cao (Nanjing University ofPosts and TelecommunicationsMi Zhang (Nanjing University of Posts and Telecommunications)
4. A Quick Algorithm on Generating Concept Lattice for Attribute-incremental Streaming DataYixuan Yang (Shaanxi Normal University), Fei Hao (Shaanxi Normal University), Beibei Pang (ShaanxiNormal University), Keyun Qin (Southwest Jiaotong University), Zheng Pei (Xihua University), and Bo Li(Southwest Jiaotong University)
5. Learning Data Space Transformation Matrix from Pruned Imbalanced Datasets for Nearest NeighborClassification
Seba Susan (Delhi Technological University) and Amitesh Kumar (Delhi Technological University)6. A Spam Review Detection Method by Verifying Consistency Among Multiple Review Sites
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Chuhao Yao (Iwate Prefectural University), Jiahong Wang (Iwate Prefectural University), and EiichiroKodama (Iwate Prefectural University)
Poster Session VI: Optimization AlgorithmsSession Chair: Zheng Xiao1. Anti-slip Re-adhesion Control Strategy of Electric Locomotive Based on Distributed MPC
Xiaokang Wen (Southwest Jiaotong University), Jingchun Huang (Southwest Jiaotong University), andShuo Zhang (Southwest Jiaotong University)
2. Performance Analysis and Beamforming Design for Secure Visible Light CommunicationsBo Huang (Nanjing University of Posts and Telecommunications), Jianxin Dai (Nanjing University of Postsand Telecommunications), Hong Ge (Nanjing University of Posts and Telecommunications), and Jin-yuanWang (Nanjing University of Posts and Telecommunications)
3. An Efficient Hash-tree-based Algorithm in Mining Sequential Patterns with Topology ConstraintWenhua Sun (Beijing University of Posts and Telecommunications), Xiaojuan Wang (Beijing University ofPosts and Telecommunications), and Lei Jin (Beijing University of Posts and Telecommunications)
4. A Block Cryptographic Algorithm for Wireless Sensor Networks Based on Hybrid Chaotic MapYuling Luo (Guangxi Normal University), Lieyang Yao (Guangxi Normal University), Junxiu Liu (GuangxiNormal University), Dezheng Zhang (Guangxi Normal University), and Lvchen Cao (Beijing Institute ofTechnology)
5. Social Regularized Collaborative Metric LearningZhengxin Zhang (Yunnan University), Qimin Zhou (Yunnan University), Hua Zhao (Yunnan University), andHao Wu (Yunnan University)
6. Data-Driven Grinding Control Using Reinforcement LearningLi Guo (University of Central Lancashire), Huan Wang (Ansteel Mining Corporation), and Jun Zhang(Ansteel Mining Corporation)
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Organizing Committee of HPCC 2019
General ChairsXiangke Liao, National University of Defense Technology, ChinaAhmed Louri, George Washington University, USAKeqin Li, State University of New York, USA
Program ChairsRajkumar Buyya, University of Melbourne, AustraliaKenli Li, Hunan University, China
Steering ChairsLaurence T. Yang, St. Francis Xavier University, CanadaBeniamino Di Martino, Second University of Naples, Italy
Workshop ChairsBingsheng He, National University of Singapore, SingaporeYongwei Wu, Tsinghua University, China
Publicity ChairsAnthony T Chronopoulos, University of Texas at San Antonio, USAYunquan Zhang, Institute of Computing Technology, Chinese Academy of Sciences, ChinaXiaoyi Lu, The Ohio State University, USAQin Liu, Hunan University, China
Publication ChairsAtiqul Mollah, Oakland University, USALigang He, University of Warwick, UK
Finance ChairZheng Xiao, Hunan University, China
Web and System Management ChairsGuoqing Xiao, University of Waterloo, CanadaHong Chen, Hunan University, China
Local Arrangement ChairJuan Luo, Hunan University, China
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Program Committee of HPCC 2019Ajith, Abraham, Machine Intelligence Research Labs (MIR Labs), USAManuel, Acacio, University of Murcia, SpainStefan, Andrei, Lamar University, USAOlga, Angelopoulou, University of Hertfordshire, UKMohamed, Bakhouya, International University of Rabat, MoroccoJakramate, Bootkrajang, Chiang Mai University, ThailandRajendra, Boppana, University of Texasat San Antonio, USAJiuwen, Cao, Hangzhou Dianzi University, ChinaMiriam, Capretz, Western Ontario University, CanadaAparicio Carranza, New York City College of Technology, USASudip Chakraborty, Valdosta State University, USAXiaolin, Chang, Beijing Jiaotong University, ChinaBowen, Chen, Soochow University, ChinaChaur-Chin, Chen, National Tsing Hua University, TaiwanChi-Hua, Chen, National Chiao Tung University, TaiwanFei, Chen, Shenzhen University, ChinaJing, Chen, National Cheng Kung University, TaiwanYan-Bin Chen, Department of Electrical Engineering National Taiwan University, TaiwanYuanfang Chen, Guangdong Provincial Key Lab. of Petrochemical Equipment Fault Diagnosis, Guangdong University ofPetrochemical Technology, China, ChinaZhongliang Chen, AMD, USAJihwan Patrick Choi, Dgist, KoreaShuo-Yan, Chou, National Taiwan University of Science and Technology, TaiwanTinkle, Chugh, University of Jyvaskyla, FinlandSudheer Chunduri, Argonne National Laboratory, USAI-Hsin, Chung, IBM T. J. Watson Research Center, USAWenjuan, Cui, Chinese Academy of Sciences, ChinaKanapathippillai, Cumanan, University of York, UKIreneusz, Czarnowski, Gdynia Maritime University, PolandMasoud, Daneshtalab, University of Turku, FinlandGregoire Danoy, University of Luxembourg, LuxembourgBei, Done, Shaanxi Normal University, ChinaBin, Dong, Lawrence Berkeley National Lab, USADaphne Economou, University of Westminster, UKMoustafa, Elhamshary, Egypt-Japan University of Science and Technology, EgyptDavid, Expósito, University Carlos III, SpainJianbin, Fang, National University of Defense Technology, ChinaFranco, Frattolillo, University of Sannio, ItalyRyan, Friese, Pacific Northwest National Lab (PNL), USASong, Fu, University of North Texas, USAAmlan Ganguly, Rochester Institute of Technology, USAHao, Gao, Nanjing University of Posts and Telecommunications, ChinaShuai Gao, Beijing Jiaotong University, ChinaHarald, Gjermundord, University of Nicosia, CyprusChris, Gniady, University of Arizona, USALuis, Gomes, Universida de Nova Lisboa, PortugalFabrizio, Granelli, University of Trento, ItalyQiang Guan, Kent State University, USAMarco, Guazzone, University of Piemonte Orientale, ItalyMuhammad Talha, Gul, Superior University, PakistanBin, Guo, Institut Telecom SudParis, France
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Tim, Hansen, South Dakota State University, USAFei, Hao, Shaanxi Normal University, ChinaHoucine, Hassan, University Politiecnica de Valencia, SpainJianhua, He, Aston University, UKWei, He, University of Science & Technology Beijing, ChinaSeongsoo, Hong, Seoul National University, KoreaRonghui, Hou, Xidian University, ChinaSun-Yuan, Hsieh, National Cheng Kung University, TaiwanRobert C., Hsu, Chung Hua University, TaiwanChun-Hsi, Huang, University of Connecticut, USAJiawei, Huang, Central South Univeristy, ChinaKuo-Chan, Huang, National Taichung University, TaiwanMiaoqing, Huang, University of Arkansas, USAMaciej, Huk, Wroclaw University of Science and Technology, PolandMauro, Iacono, Università degli Studi della Campania "Luigi Vanvitelli”, ItalyYoung-Sik, Jeong, Dongguk University, KoreaYuheng, Jia, City University of Hong Kong, Hong KongHai, Jiang, Arkansas State University, USAWenbin, Jiang, Huazhong University of Science and Technology, ChinaCarlos, Juiz, University of the Balearic Islands, SpainHabib M., Kammoun, University of Sfax, TunisiaMahmut, Kandemir, Pennsylvania State University, USAPanagiotis, Karampelas, Hellenic Air Force Academy, GreeceMuhammad, Khurran Khan, King Saud University, Saudi ArabiaTom, Kirkham, STFC, UKOndrej, Krejcar, University of Hradec Kralove, Czech RepublicMinseok, Kwon, Rochester Institute of Technolgy, USAAlexey, Lastovetsky, University College Dublin, IrelandTuan, Le, Middlesex University London, UKChe-Rung, Lee, National Tsing Hua University, TaiwanLaurent, LefĨvre, Inria, LIP, FranceVictor C. M. Leung, Department of Electrical and Computer Engineering, University of British Columbia, Canada, CanadaJuan Li, North Dakota State University, USAQinghua, Li, University of Arkansas, USAQingsheng, Li, Anyang Normal University, ChinaRuidong Li, National Institute of Information and Communications Technology (NICT), JapanRuixuan Li, Huazhong University of Science and Technology, ChinaYunji, Liang, Northwestern Polytechnical University, ChinaKai, Lin, Dalian Universtiy of Technology, ChinaJianxun Liu, Hunan University of Science and Technology, ChinaJun, Liu, University of Michigan, USAXin, Lou, Advanced Digital Sciences Center, Illinois at Singapore., SingaporeSamia, Loucif, AlHosn University, UAEJoan, Lu, University of Huddersfield, UKWei, Lu, Keene University, USAChengwen, Luo, Shenzhen University, ChinaZakaria, Maamar, Zayed University, UAEMario Donato, Marino, Leeds Beckett University, UKAlejandro, Masrur, TU Chemnitz, GermanyGabriel, Mateescu, National Center for Supercomputing Applications, USARodolfo Meneguette, Federal University of Sao Paulo, BrazilSouham, Meshoul, University Constantine 2, AlgeriaManki, Min, South Dakota State University, USA
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Atiqul Mollah, Oakland University, USAPaolo, Mori, IIT-CNR, ItalyIn Hyun, Nahm, Sunmoon University, KoreaTakeshi, Nanri, Kyushu University, JapanMahdi, Nikdast, Colorado State University, USASatoru, Ohta, Toyama Prefectural University, JapanHassab-Elgawi, Osman, Okayama University, JapanRasha, Osman, University of Khartoum, SudanMichael, Oudshoorn, Northwest Missouri State University, USALe, Ouyang, Shenzhen University, ChinaJeng-Shyang, Pan, National Kaohsiung University of Applied Sciences, TaiwanZhaoqing, Pan, Nanjing University of Information Science and Technology, ChinaMarcin, Paprzycki, Systems Research Institute Polish Academy of Sciences and Management Academy, PolandAthanasios, Paraskelidis, University of Portsmout, UKEric, Pardede, La Trobe University, AustraliaAmanda, Peart, University of Portsmout, UKLu, Peng, Louisiana State University, USAAdamantini, Peratikou, University of Portsmout, UKRonald, Perrott, Queen's University, UKKalyan, Perumalla, Oak Ridge National Lab, USADana, Petcu, University of Western Timisoara, RomaniaSumesh, Philip, Western Illinois University, USAChristian, Poellabauer, University of Notre Dame, USAAndreas, Polze, Hasso-Plattner-Institute at University Potsdam, GermanyLucian, Prodan, Politehnica University of Timisoara, RomaniaMan, Qi, Canterbury Christ Church University, UKXiao, Qin, Auburn University, USAKhaled, Rabie, Manchester Metropolitan University, UKKhaled, Ragab, King Faisal University, Saudi ArabiaThomas, Rauber, University of Bayreuth, GermanyXuebin, Ren, Xi’an Jiaotong University, ChinaYongmao, Ren, Chinese Academy of Sciences, ChinaJose Cano, Reyes, The University of Edinburgh, UKMorris, Riedel, Jülich Supercomputing Centre, USAJuan Manuel Corchado Rodrguez, University of Salamanca, SpainLuiz A., Rodrigues, Western Parana State University, BrazilImed, Romdhani, Edinburgh Napier University, UKJulio, Sahuquillo, Universidad Politecnica de Valencia, SpainSubhash, Saini, NASA, USAMomodou, Sanyang, University of Birmingham, UKStefan Schaeckeler, Cisco, USAGregor, Schiele, Universität Duisburg-Essen, GermanyHuseyin, Seker, The University of Northumbria at Newcastle, UKHuasong Shan, JD.com American Technologies Corporation, USATao, Shang, Beihang University, ChinaJoanna Siebert, Hong Kong Polytechnic University, Hong KongAnthony, Simonet, Rutgers Discovery Informatics Institute (RDI2), USAFrank, Siqueira, Federal University of Santa Catarina, BrazilBosheng, Song, Huazhong University of Science and Technology, ChinaDaisuke, Takahashi, University of Tsukuba, JapanDomenico, Talia, Università della Calabria, ItalyHaina, Tang, University of Chinese Academy of Sciences, ChinaShirmohammad Tavangari, University of Zurich, Switzerland
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Parimala, Thulasiraman, University of Manitoba, CanadaI-Hsien, Ting, National University of Kaohsiung, TaiwanPaolo, Trunfio, University of Calabria, ItalyGeorge, Tsoulos, University of Peloponnese, GreeceNilay Vaish, Google, USALuis Javier, García Villalba, Complutense University of Madrid, SpainBang, Wang, Huazhong University of Science and Technology, ChinaChen, Wang, Huazhong University of Science and Technology, ChinaGaocai, Wang, Guangxi University, ChinaWeichao, Wang, University of North Caroline at Charlotte, USAWenbo, Wang, NTU, SingaporeXiang, Wang, Beihang University, ChinaYunsheng, Wang, Kettering University, USAZhu, Wang, Northwestern Polytechnical University, ChinaJin, Wei, University of Akron, USAGuoqi Xie, Hunan University, ChinaLiudong, Xing, University of Massachusetts at Dartmouth, USALi, Xu, Fujian Normal University, ChinaTongyang, Xu, UCL, UKWenjian, Xu, Hong Kong Polytechnic University, ChinaZhiwu, Xu, Shenzhen University, ChinaZhongjiang, Yan, Northwestern Polytechnical University, ChinaHongji, Yang, Bath Spa University, UKQinmin, Yang, Zhejiang University, ChinaMuneer Bani, Yassein, Jordan University of Science and Technology, JordanI-Ling, Yen, University of Texas at Dallas, USAChen, Yu, Huazhong University of Science and Technology, ChinaHu, Yuan, University of Warwick, UKHui, Yuan, Shandong University, ChinaHao, Yue, San Francisco State University, USAJiaxin Zhang, Beijing University of Posts and Telecommunications, ChinaJunbao Zhang, Zhongyuan University of Technology, ChinaKe, Zhang, Wuhan University of Technology, ChinaLining, Zhang, Northumbria University, UKQieshi, Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, ChinaXinchang, Zhang, Shandong Academy of Sciences, ChinaXiuxia Zhang, NVIDIA, USAXu, Zhang, Nanjing University, ChinaYong Zhang, Liaoning Normal University, ChinaYueying, Zhang, University of Oklahoma, USAPeng, Zhao, Xi'an Jiaotong University, ChinaWenbo, Zhao, Xidian University, ChinaLiangli, Zhen, Sichuan University, ChinaHuiru, Zheng, University of Ulster, UKShenghua, Zhong, Shenzhen University, ChinaJunlong Zhou, Nanjing University of Science and Technology, ChinaYingjie, Zhou, Sichuan University, ChinaBonnie, Zhu, Univ. of California at Berkeley, USAZuqing, Zhu, University of Science and Technology of China, China
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Organizing Committee of SmartCity 2019
General ChairsXuemin (Sherman) Shen, University of Waterloo, CanadaGeyong Min, University of Exeter, UK
Program ChairsW. Pedrycz, University of Alberta, CanadaBharadwaj Veeravalli, National University of Singapore, SingaporeHongbo Jiang, Hunan University, Chin
Steering CommitteeLaurence T. Yang, St. Francis Xavier University, Canada (Chair)Jinjun Chen, Swinburne University of Technology, Australia (Chair)Gilles Betis, EIT ICT Labs, FranceYu Zheng, Microsoft Research, China
Workshop ChairsJemal Hussien, Deakin University, Australia
Publicity ChairsAnthony T Chronopoulos, University of Texas at San Antonio, USAQing Liu, Hunan University, China
Publication ChairsDavid Powers, Flinders University, AustraliaJianguo Chen, University of Toronto, Canada
Finance ChairZheng Xiao, Hunan University, China
Web and System Management ChairsGuoqing Xiao, University of Waterloo, CanadaHong Chen, Hunan University, China
Local Arrangement ChairJu Ren, Central South University, China
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Program Committee of SmartCity 2019Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USAAdel M. Alimi, University of Sfax, TunisiaStefan, Andrei, Lamar University, USAGuglielmo De Angelis, CNR - IASI, ItalyAmjad Anvari-Moghaddam, Aalborg University, DenmarkYu, Bai, California State University Fullerton, USAJose, Barata, Universidade Nova Lisboa, PortugalJosé Barbosa, Polytechnic Institute of Bragança, PortugalAdriana Giret Boggino, Polytechnic University of Valencia, SpainRajendra, Boppana, University of Texasat San Antonio, USAMiriam, Capretz, Western Ontario University, CanadaChen, Chen, Fudan University, ChinaJing, Chen, National Cheng Kung University, TaiwanZhikui, Chen, Dalian University of Technology, ChinaHui, Cheng, Liverpool John Moores University, UKAntonio Coronato, L'Istituto di Calcolo e Reti ad Alte Prestazioni del Consiglio Nazionale delle Ricerche (ICAR-CNR), ItalyFabio Costa, Federal University of Goias, BrazilJie Cui, Anhui University, ChinaIreneusz, Czarnowski, Gdynia Maritime University, PolandChelsea, Dobbins, Liverpool John Moores University, UKMianxiong, Dong, Muroran Institute of Technology, JapanNadine Gaertner, SAP, GermanyJing, Gao, Dalian University of Technology, ChinaHemant, Ghayvat, Fudan University, ChinaLuis, Gomes, Universida de Nova Lisboa, PortugalPedro Merino Gomez, University of Malaga, SpainDamas P. Gruska, Comenius University in Bratislava, SlovakiaZonghua, Gu, Zhejiang University, ChinaKehua Guo, Central South University, ChinaChang-Wook Han, Dong-Eui University, South KoreaLiangxiu Han, Manchester Metropolitan University, UKHoucine, Hassan, University Politiecnica de Valencia, SpainSeongsoo, Hong, Seoul National University, KoreaPao-Ann, Hsiung, National Chung Cheng University, TaiwanRobert, Hsu, Chung Hua University, TaiwanHuawei, Huang, University of Aizu, JapanMaciej Huk, Wroclaw University of Science and Technology, PolandMauro, Iacono, Università degli Studi della Campania "Luigi Vanvitelli”, ItalyUlf Jennehag, Mid Sweden University, SwedenChao, Jing, Guilin University of Technology, ChinaEugene, John, University of Texas at San Antonio, USAHabib M. Kammoun, University of Sfax, TunisiaKashif, Kifayat, Liverpool John Moores University, UKKyoungGon, Kim, Korea University, KoreaOndrej Krejcar, University of Hradec Kralove, Czech RepublicChin-Fu, Kuo, National Univ. of Kaohsiung, TaiwainZhiyuan, LI, Jiangsu University, ChinaGyuMyoung, Lee, Liverpool John Moores University, UKYiu-Wing, Leung, Hong Kong Baptist University, Hong KongGaolei, Li, Shanghai JiaoTong University, ChinaShancang, Li, West england university, UK
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Hui, Lin, Fujian Normal University, ChinaJun, Liu, University of Michigan at Dearborn, USALei, Liu, Shandong University, ChinaLu Liu, University of Derby, UKZhi, Liu, Waseda University, JapanRichard Lomotey, University of Saskatchewan, CanadaWei, Lu, Keene State College, USAChunbo Luo, University of Exeter, UKZhihan, Lv, University College London, UKXinjun Mao, NUDT, ChinaHongying, Meng, University of Brunel, UKGidlund Mikael, Mid Sweden University, SwedenRasha, Osman, University of Khartoum, Sudan, SudanPeter Palensky, TU Delft, The NetherlandsZhibo, Pang, BB AB Corporate Research, Sweden, SwedenMarcin Paprzycki Paprzycki, Systems Research Institute Polish Academy of Sciences and Management Academy, PolandYounghee, Park, San Jose State University, USANovais Paulo, Universidade do Minho, PortugalDana, Petcu, West University of Timisoara, RomaniaVincenzo, Piuri, University degli studi di Milano, ItalyAndreas, Polze, Hasso-Plattner-Institute at University Potsdam, GermanyTie, Qiu, Dalian University of Technology, ChinaSebastian Rohjans, HAW, GermanyJulio, Sahuquillo, Universidad Politecnica de Valencia, SpainEmanuele Lindo Secco, Liverpool Hope University, UK, UKMohamed, Sellami, ISEP, FranceThar Baker, Shamsa, Liverpool John Moores University, UKJoanna Siebert, Hong Kong Polytechnic University, Hong KongPetr Skobelev, Multi-Agent Technology, Ltd, UKJingtao, Sun, National Institute of Informatics, JapanChiu Chiang, Tan, Temple University, USASabu M, Thampi, Indian Institute of Information Technology and Management, IndiaMathias Uslar, OFFIS, GermanyHarold Rene Chamorro, Vera, KTH, Sweden, SwedenHao, Wang, Norwegian University of Science & Technology, NorwayYufeng Wang, Nanjing University of Posts and Telecommunications, ChinaI-Chen Wu, National Chiao Tung University, TaiwanYulei, Wu, University of Exeter, UKHongji Yang, Bath Spa University, UKPo Yang, Liverpool John Moores University, UKMuhammad Younas, Oxford Brookes University, UKGulnara Zhabelova, Luleå University of Technology, SwedenKailong, Zhang, Northwestern Polytechnical University, ChinaMinghui Zheng, Hubei University for Nationalities, ChinaXiaoxiong, Zhong, Tsinghua University, ChinaBo, Zhou, Liverpool John Moores University, UK
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Organizing Committee of DSS 2019
General ChairsAlbert Zomaya, University of Sydney, AustraliaXianhe Sun, Illinois Institute of Technology, USA
Program ChairsTao Li, University of Florida, USAPavan Balaji, Argonne National Laboratory, USA
Steering CommitteeJinjun Chen, Swinburne University of Technology, Australia (Chair)Laurence T. Yang, St Francis Xavier University, Canada (Chair)Ramamohanarao Kotagiri, University of Melbourne, AustraliaJian Pei, Simon Fraser University, CanadaXian-He Sun, Illinois Institute of Technology, USASartaj Sahni, University of Florida, USAStan Matwin, Dalhousie University, CanadaZhaohui Wu, Zhejiang University, ChinaManish Parashar, Rutgers University, USAAlbert Zomaya, University of Sydney, Australia
Workshop ChairsYunji Chen, Institute of Computing Technology, Chinese Academy of Sciences, ChinaAbdel-Badeeh M. Salem, Ain Shams University, Egypt
Publicity ChairsAnthony T Chronopoulos, University of Texas at San Antonio, USAQing Liu, Hunan University, China
Publication ChairShaoliang Peng, National Supercomputing Center in Changsha, China
Finance ChairZheng Xiao, Hunan University, China
Web and System Management ChairsGuoqing Xiao, University of Waterloo, CanadaHong Chen, Hunan University, China
Local Arrangement ChairJin Zhang, Hunan Normal University, China
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Program Committee of DSS 2019Ilkay, Altintas, University of California, San Diego, USADanilo Ardagna, Politecnico di Milano, ItalyGustavo Batista, Universidade de São Paulo, BrazilMartin Berzins, University of Utah, USASridutt Bhalachandra, Argonne National Laboratory, USA,Rajdeep Bhowmik, Cisco Systems, Inc., USASurendra Byna, Lawrence Berkeley National Laboratory, USARicardo José, Gabrielli Barreto Campello, James Cook University, AustraliaAlberto Cano, Virginia Commonwealth University, USACinzia, Cappiello, Politecnico di Milano, ItalyBarbara Carminati, University of Insubria, ItalyAparna Chandramowlishwaran, University of California, Irvine, USA,Keke Chen, Wright State University, USAMei, Chen, Lanzhou Jiaotong University, ChinaYuwang, Chen, University of Manchester, UKZhiyuan, Chen, University of Maryland Baltimore County, USAKenneth Chiu, Binghamton University, USAAndrea, Clematis, IMATI - CNR, ItalyGiuseppe Congiu, Argonne National Laboratory, USA,Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, ItalyErnesto, Damiani, Universita degli Studi di Milano, ItalyCheng, Deng, Xidian University, ChinaSameh, Elnikety, Microsoft Research, USAHarry Foxwell, Oracle Consultant, and Adjunct Professor of Computer Science at George Mason University, USABernd Freisleben, Philipps-Universität Marburg, GermanyWenlong, Fu, SAP Auckland, New ZealandXin Fu, University of Houston, USA,Angelo, Genovese, Università degli Studi di Milano, ItalyFelix, Gessert, University of Hamburg, GermanyAnastasios Gounaris, Aristotle University of Thessaloniki, GreeceNancy, Grady, SAIC, USANaeemul Hassan, University of Mississippi, USABingsheng He, National University of Singapore, Singapore,Jieyue He, Southeast University, ChinaMark Hedges, King's College London, UKJia, Hu, University of Exeter, UKLiting, Hu, Florida International University, USAYu, Hua, Huazhong University of Science and Technology, ChinaKaizhu Huang, Xi'an Jiaotong-Liverpool University, ChinaFabrice, Huet, Université Côte d’Azur, CNRS, FranceClay Hughes, Sandia National Laboratories, USA,Mikel Galar Idoate, Public University of Navarra, SpainYichuan Jiang, Southeast University, ChinaJithin Jose, Microsoft, USA,David, Kaeli, Northeastern University, USAVana, Kalogeraki, Athens University of Economics and Business, GreeceJang Hyun Kim, Sungkyunkwan University, South KoreaAlex Kuo, University of Victoria, CanadaPalden Lama, University of Texas at San Antonio, USA,
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Alexey, Lastovetsky, University College Dublin, IrelandChe-Rung Lee, National Tsing Hua University, TaiwanLaurent, Lefevre, INRIA, FranceJianxin Li, Beihang University, ChinaMin Li, IBM TJ Watson Research Center, USARu Li, Inner Mongolia University, ChinaZheng, Lin, Chinese Academy of Sciences, ChinaDuo Liu, Chongqing University, China,Jun Liu, University of Michigan at Dearborn, USAGiovanni, Livraga, Università degli Studi di Milano, ItalyJay, Lofstead, Sandia National Laboratories, USACheng Long, Queen's University Belfast, UKQiang, Ma, Rutgers University, USAZhixin Ma, School of Information Science and Engineering, Lanzhou University, ChinaBradley, Malin, Vanderbilt University, USAVictor Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics, RussiaWenji, Mao, Institute of Automation, Chinese Academy of Sciences, ChinaBob, Marcus, ET-Strategies, USATiziana Margaria, University of Limerick, IrelandWang Miao, University of Exeter, UKHidemoto, Nakada, National Institute of Advanced Industrial Science and Technology, JapanBen C.K. Ngan, Worcester Polytechnic Institute, USAJian-Yun, Nie, Université de Montréal, CanadaAlexandros, Ntoulas, LinkedIn, USAAntonio J. Pena, Barcelona Supercomputing Center, Spain,Amer Qouneh, Western New England University, USA,Vaibhav Rastogi, Northwestern University, USAPaolo Romano, Lisbon University/INESC-ID, PortugalTong, Ruan, East China University of Science and Technology, ChinaLukas, Rupprecht, IBM Research Almaden, USAYvan Saeys, Ghent University, BelgiumShengli Victor, Sheng, University of Central Arkansas, USABenyuan, Shi, Hangzhou Dianzi University, ChinaKoichi Shirahata, Fujitsu, JapanSrivathsan Srinivasagopalan, Visa, USAMingxuan, Sun, Louisiana State University, USAHakaru Tamukoh, Kyushu institute of Technology, JapanLi, Tao, Southwest University, ChinaAmr Tolba, King Saud University, Saudi ArabiaSebastian Ventura, University of Cordoba, SpainHongzhi, Wang, Harbin Institute of Technology, ChinaJianwu, Wang, University of Maryland, Baltimore County, USARui Wang, Beihang University, China,Shiqiang Wang, IBM TJ Watson Research Center, USAYi Wang, Shenzhen University, China,Yuanzhuo, Wang, Chinese Academy of Sciences, ChinaZhiping Wang, Huawei, ChinaTianyu, Wo, Beihang University, ChinaKa-Chun, Wong, City University of Hong Kong, HK SAR, ChinaLingfei Wu, IBM Research, USAHaitao Xia, Avago Technologies, USAYun, Xiong, Fudan University, China
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Jiajie, Xu, Soochow University, ChinaWeijia, Xu, Texas Advanced Computing Center, University of Texas at Austin, USARamin Yahyapour, GWDG - Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen, GermanyFeng, Yan, University of Nevada, Reno, USAJian Yang, Macquarie University, AustraliaMing Yang, Nanjing Normal University, ChinaChau Yuen, Singapore University of Technology and Design, SingaporeGuangyan, Zhang, Tsinghua University, ChinaJing Zhang, AMD, USA,Kunpeng Zhang, University of Maryland, College Park, USAXiaofeng, Zhang, Harbin Institute of Technology, ChinaZili Zhang, Southwest University, ChinaDongyan Zhao, Peking University, ChinaMing, Zhao, Arizona State University, USAXingming, Zhao, Fudan University, ChinaZhiming Zhao, University of Amsterdam, NetherlandsAmelie Chi Zhou, Shenzhen University, China,Xiaobo Zhou, University of Colorado, Colorado Springs, USA
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Travel GuideZhangjiajie (simplified Chinese:张家界; traditional Chinese:張家界; pinyin: Zhāngjiājiè) also known in Tujialanguage as Zhangx jif avlar (dzaȵ˩ ji˥ a ˩la˥) is a prefecture-level city in the northwestern part of Hunanprovince, People's Republic of China. It comprises the district of Yongding, Wulingyuan and counties of Ciliand Sangzhi. Within it is located Wulingyuan Scenic Area which was designated a UNESCO World HeritageSite in 1992 as well as an AAAAA scenic area by the China National Tourism Administration.
The city features a variety of different terrains including: mountainous regions, upland areas, plains, and Karstrock areas. Among these, the mountains cover 76 percent of the total area. The world-famous natural heritagesite 'Wulingyuan Scenic Area' is located on the base of these great mountains. Areas worth visiting includeZhangjiajie National Forest Park (known as China's first national forest park), Suoxiyu Nature Reserve, andTianzi Mountain Nature Reserve. The scenic area hosts many natural features including: mountains, forests,caves, lakes and waterfalls and perhaps there are more than three thousand rock ridges and eight hundred ghylls.They enjoy the reputation of 'Original Picture on Mountain and River of China'. This wonderland is covered withdense forests and is considered Mother Nature's Oxygen Bar.
One of the most interesting things to do here is the experience of drifting on the Maoyan River. The MaoyanRiver is the upper reach of the Li River in Yongding District. The length for drifting is 25 kilometers (about 16miles) and the zigzags in the river offer an exhilarating ride. There are four wonders on the Maoyan River:Bangtou Spring, Jianxie (intermittent) Spring, Yan (salt) Spring and Pen Wu (spout mist) Cave. These scenicspots cover the river with a mysterious color. The most renowned scenic spot is the Shui Dongzi (water hollow)Waterfall. On the bank opposite the waterfall there are several huge rocks which provide a perfect naturalobservation platform. This is an ideal place for visitors to take photos.
Zhangjiajie National Forest Park Yellow Dragon Cave
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Baofeng Lake Thrilling Glass Bridge
Tianmen Cave A Grand Waterfall
The history of Zhangjiajie can be traced back to the Neolithic Age. There are three main ethnic minority groupsTujia, Bai, Miao and other 29 minority groups living harmoniously with the Han Nationality. Many differentfolk cultures converge here and the visitor can experience the various folk-customs, clothing, decorations, danceand music. In 2006, Folk Songs of Sangzhi County, Hands-waving Dance of Tujia Ethnic Group, MaogusiDance, and The Crafts of Tujia Brocade were all listed in the Protection Catalog of Chinese Intangible CulturalHeritage. The people here are all very hospitable and visitors immediately feel at home. And local snacks maybecome travelers' favorite.
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