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Execution Environments for Distributed Computing
Part 0. Course
Introduction
EEDC 34330
Master in Computer Architecture, Networks and Systems - CANS
2
Content
Part 0. Course Introduction
0.1.Welcome
0.2.Course Organization
0.3. Course Content and Motivation
0.4. Students presentation warm-up
0.5. Conferences and Journals in Computers Science. How its work?
Execution Environments for Distributed Computing
0.1 Welcome
EEDC 34330
Master in Computer Architecture, Networks and Systems - CANS
4
Professor Background (Who am I?)§ Who am I?
– Current Teaching Activity:• System Performance Evaluation (FIB)• Execution Environments for Distributed Computing (CANS)
– Research interests : IT Resource Management• Cloud Computing, Green Computing, Big Data …
– Research groups• Professor at High Performance Computing Group at DAC (UPC).• Manager of Autonomic Systems and eBusiness Platforms research
group at BSC.
– Other interests: • I enjoy talking about technology and mountain biking
– For more details : www.JordiTorres.org
5
Welcome
And you?
6
Execution Environments for Distributed Computing
0.2 Course
Motivation &
Organization
EEDC 34330
Master in Computer Architecture, Networks and Systems - CANS
8
Syllabus Stuff (official course description)
§ “Guia docente oficial” (Spanish) : http://docencia.ac.upc.edu/master//es/course.24.html
§ 2006 OBJETIVOS/OBJECTIVES (“absolete”): El objetivo del curso es ofrecer una visión de los desarrollos y la investigación en los entornos de ejecución para sistemas paralelos y distribuidos. En el curso se hará especial énfasis en los entornos requeridos en las nuevas aplicaciones ebusiness y grid. Se estudiará la organización interna y la gestión que recursos requerida para garantizar funcionalidades y calidad de servicio.
9
Syllabus Stuff (official course description)
§ METODOLOGÍA: Esta asignatura es avanzada y los conceptos básicos se suponen ya conocidos en asignaturas anteriores y está enfocada principalmente a introducir al estudiante en los conceptos más avanzados.Con clases magistrales se introducirán los temas que se trabajarán sobre artículos recientes publicados en congresos o revistas especializadas y propuestas de proyectos en desarrollo. Los alumnos deberán realizar la lectura y discusión de estos artículos.Los alumos realizaran un trabajo personal y presentaran un tema de investigación relacionado con la asignatura. El estudiante tendrá que desarrollar su capacidad crítica para evaluar la adecuación de las soluciones presentadas o, en su caso, proponer posibles ideas.
10
Syllabus Stuff (official course description)
§ De las 150 horas de trabajo, la distribución será:
– 60 horas (4 horas semana, 15 semanas) de clase presencial: se distribuirán en:
• clase magistrales, • trabajos, • casos de estudio y debate de artículos de investigación• presentación de trabajos
– 90 horas de trabajo no presencial: • lectura de artículos de investigación, • realización de trabajos, • preparación de las presentaciones • y estudio.
11
Where to find the information§ Teacher contact :
Office: Campus Nord, Block C6, office 217Phone: +34 93 401 7223Email: [email protected]
§ Course Slides web sitehttp://www.jorditorres.org/teaching/eedc-2011-execution-
environments-for-distributed-computing/eedc2012-slides/
§ Students EEDC web sitehttp://www.jorditorres.org/news/
§ Official web site for personal and confidential information
“RACÓ” at http://www.fib.upc.edu
12
Students EEDC web site
13
EEDC as a network of contacts (LinkedIn)
14
This course provides§ an overview of the wide scope of this area and
introduces past and current research focusing on conceptual and practical aspects.
§ The course also has the objective of introducing the student to research. In general the EEDC course is focused on developing skills rather than content.
§ For this reason each year we focus the course on some of the dichotomies which come to mind when looking at the strategies available to deal with concrete problems in the wider EEDC space and in relation to some problem of the utmost relevance.
15
Content§ paper readings assigned for some of the classes. § We will have two main reading parts in the course,
– one for general papers (and homework) and – one for more in depth research in the area (related with the
research project).
§ All students taking the course are required to complete a research project (or “state-of-the-field” review). § Discussions will be led by one or more students and may
include brief presentations. § Moreover we will introduce the student to the research
information resources.§ We expect also to have seminars by IT companies.
16
This year’s special focus
§ Current Execution Environment of Distributed Systems:
Explosion of Cloud Computing, dominated by the boom of available information (Big Data) and all in a sustainable way (Green Computing).
17
Syllabus Stuff§ “state-of-the-field” review
All students taking the course are required to complete a research project (or “state-of-the-field” review). The project is intended to provide the student with an opportunity to gain experience with research in a topic related to the content of the course. Moreover we will introduce the student to the research information resources
18
Tentative Grading Policy (*)
§ Paper Readings/Presentations (and homework): 35%– Delivery: 20 %– Content: 10 %– Public presentation: 5%
§ Research Project: 35%– Research survey content and writing 20%– Presentation of the workshop paper 10%
§ Participation: 35%– Class/Seminars participation (in paper discussions) 10%– Class attendance: 25%
(*) pending to know the final number of students enrolled. Default organization of course have to be changed
19
GROUPS (*)
§ Paper Reading/Presentation: 8 group x 3 members
§ Research Project Group: 1 or 2 students
(*) pending to know the final number of students enrolled. Default organization of course have to be changed
Execution Environments for Distributed Computing 0.3
CourseContent
EEDC 34330
Master in Computer Architecture, Networks and Systems - CANS
21
Transactional
Indexing
§ Today’s applications:– Heterogeneous set of
applications with different characteristics and service goals:
• Characteristics: CPU, I/O, network, memory… intensive
• Service goals: Response time, throughput, fault-tolerant, deadlines…
Streaming
Hardware
T10 T20
T30T40
T50T11 T21
T31T41
T51
Workflow
Today landscape
Big Data
22
Today landscape§ Types of applications
– This set of applications includes: • Interactive web workload • Non-interactive workloads such document indexing
or data-intensive jobs.• Scientific applications that range from a single
thread intensive CPU consuming to multi-threading applications.
• …
– Current workloads: based on a heterogeneous set of applications that deliver critical services to their customers (SLA).
23
Today landscape§ Type of applications
– The SLA for different applications tend to be based on different characteristics:
• Performance goals:– For interactive : response time or …– For non interactive : for example completion time.
• Time scale of managing:– Non-interactive workloads typically require computation for an
extended period of time.– Interactive workloads present a short duration for individual
requests and require short control cycles.
• Clients priority: e.g. Gold, Silver, Platinum, Standard.
• … and others
24
Example (commercial data centers)§ Current use:
– Resource provisioning: maximum granularity is a node– Off peak periods: wasted computing power– Set of applications: time partition (if possible!)
• Transactional on work hours• Batch on nights
§ Challenges:– Reduce waste of resources– Increase provisioning granularity– Management of mixed workloads– Service level guarantees– Better exploitation of resources– …
Wor
kload
inten
sity
Day 1 Day 2 Day 3
Example:Web workload
25
Execution Environment
§ To efficiently execute all these kinds of applications, a new execution environment is needed
Transactional
Indexing
StreamingT10 T20
T30T40
T50T11 T21
T31T41
T51
Grid
Big Data
26
How do these applications access resources?
Transactional
Indexing
StreamingT10 T20
T30T40
T50T11 T21
T31T41
T51
Grid
§ Solution: software layerabstracts the details in a heterogeneous distributed computing environment.
Big Data
27
Execution Environment or Middleware?
Middleware is a somewhat overloaded term!!!!!!§ For this course:
– Generally speaking, middleware provides software services for application programs INCLUDING the basic operating system and networking services above the resources.
Operating Systemand Networking Services
Software services
USER Application
Resources
28
§ Who is responsible for managing resources?
Different layers
Data Center Infrastructure
Applications
System
Hardware
…Web Services
Aplication Server
Web server
Java Virtual Machine
Operating System
Virtualization layer
…
MIDDLEWARE
29
EEDC Content (2012)
§ Part 0: Introduction§ Part 1 : Distributed Computing Scenario§ Part 2: Current Trends in EEDC: Cloud Computing as a core part§ Part 3: Scientific EEDC§ Part 4: Energy Challenges in today EEDC: Green Computing§ Part 5: Big Data challenges in EEDC§ Part 6: Other challenges in today EEDC§ Part 7: EEDC Open Seminars § Part 8: Fourth EEDC Workshop
30
EEDC Workshop series
31
EEDC open seminars
§ A series of seminars with the view of IT industry and IT entrepreneurs. (Invited speakers)§ Aimed to stimulate intellectual conversations about
real cases related with the course § as well as to allow an opportunity to learn more
about each “case study” presented through Q&A session.§ The seminars are open to FIB community
32
EEDC open seminars
§ Tentative 2012 EEDC Open Seminar case study areas:– “Infrastructure as a Service”– “Software as a Service”– “Green Computing”– “Open Data”– “Big Data”
33
Tentative schedule
Execution Environments for Distributed Computing
0.4 Students
PresentationWarm-up
EEDC 34330
Master in Computer Architecture, Networks and Systems - CANS
35
Procedure for delivering homework1. Read the assigned documentation/paper
– Each of you have to read the document/paper– Meet with your team to discuss and do the homework
2. Build the presentation– Consider the specifications for the corresponding homework– Be sure to follow the EEDC template– Be sure to include your names on the first slide
3. Upload the presentation on to slideshare (or similar)– Create your account if necessary at http://www.slideshare.net
4. Link your presentation to EEDC students website– You will have an account at www.JordiTorres.org/news– Find the correct post and edit it to link the presentation
5. Check that everything is ok before the deadline
36
Procedure for presenting homework1. Prepare the presentation and bring it to the class
with your «pendrive» or similar– Optionally you could use the uploaded presentation
2. Only two (*) groups will present the paper/homework– The groups will be chosen at random
3. There will be a Q&A session after presentations– This will be considered as class participation and count towards
final marks
4. After the presentation listeners will choose the best presentation (*)
(*) In some cases only 1 group will present
37
First homework: Wark-up§ Project:
– prepare a presentation about an easy topic: «Distributed Systems»
§ Characteristics:– A 15 minute presentation (aprox.).
§ Source of information?– For this homework you could use any information on the Internet
(e.g. Wikipedia)– Where can we find more? (next day!)
§ Delivery deadline: – Thursday 23th February at 11:00am
§ Presentation: – Thursday 23th February at 12:00am (class room)