M2M Platform-as-a-Service for
Sustainability Governance
Hong-Linh Truong and Schahram Dustdar
Distributed Systems Group
Vienna University of Technology
[email protected] http://pc3l.infosys.tuwien.ac.at
1 SOCA 2012, 18 Dec 2012, Taipei,
Taiwan
Outline
Context, motivation, and approach
Linking M2M data
Platform as a service
Prototype
Conclusions and future work
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The context – sustainability governance
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Cities, e.g. including:
10000+ buildings
1000000+ sensors
Near realtime analytics
Predictive data
analytics
Visual Analytics
Enterprise
Resource
Planning
Emergency
Management
Internet/public cloud
boundary
Organization-specific
boundary
Tracking/Log
istics
Infrastructure
Monitoring
Infrastructure/Internet of Things
...
Motivation (1)
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Multiple phases, different data
gathering processes, different types
of data
Big and near-realtime data
Different types of analytics
Not a single programmig
language/model
Covering simple to complex
applications
Hong Linh Truong, Schahram Dustdar: A survey on cloud-based sustainability governance systems. IJWIS 8(3): 278-295 (2012)
Motivation (2)
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Low-level (big sensor-based) cloud-based data infrastructures and
analytics platforms for single type of stakeholders are not enough
Only a few cloud-based infrastructures are investigated for managing
low-level data for sustainability governance
(Open) e-science data or sensor Web platforms mainly support one type
of stakeholders
A small example
Approach – Platform as a Service
Link near-realtime monitoring data with facility
monitored objects
Using linked data models and leveraging data services
for monitoring data and for monitored object information
Manual/automatic processes to establish the links
Develop data-as-a-service and platform-as-a-
service concepts for sustainabiltiy governance
Support near-realtime and predictive analytics
Different application models and bot-as-a-service
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Linking cloud-based M2M data
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Different situations in realistic systems:
Monitored object descriptions are/are not well-defined
Monitored object information might or might not
available
Sensor data can/cannot be annotated
DaaS for sustainability governance
Monitoring data Data-as-a-Service
Facility information Data-as-a-Service
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Platform-as-a-Service for
sustainability governance
Different analytics application models, such as
batch, workflow and stream applications and
intelligent bots
different programming models and languages
offline predictive analytics of large-scale data but also
near-realtime analytics and bot-as-a-service
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Platform-as-a-Service and Bots
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Hong Linh Truong, Phu H. Phung, Schahram Dustdar: Governing Bot-as-a-Service in Sustainability Platforms - Issues
and Approaches. Procedia CS 10: 561-568 (2012)
Cloud-based sustainability
governance analysis framework
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Prototype
Near-realtime monitoring data are obtained from
Niagara AX gateways, part of the Pacific
Controls Galaxy Platform
http://www.pacificcontrols.net/products/galaxy.html
An RDF-based data service for buiding
concepts and links
SusGov Apps profiles are in RDF
Using Allergro Graph
(http://www.franz.com/agraph/allegrograph)
Java-based PaaS with RESTful APIs
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Linking M2M Cloud data - example
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Cloud-based sustainability
governance analysis framework
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Data dependencies
Application discovery
Local execution environment
Results
Conclusions and Future Work
We present
Techniques to link monitoring data and monitored
objects in cloud-based M2M systems
Platform-as-a-Service and data services for different
types of data analytics required by different
stakeholders
Future plan
Large-scale tests
Dynamic near-realtime analytics by combining bots
and cloud predictive data analytics
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Thanks for your attention
Hong-Linh Truong
Distributed Systems Group
Vienna University of Technology
http://www.infosys.tuwien.ac.at/staff/truong
SOCA 2012, 18 Dec 2012, Taipei,
Taiwan
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