DSS 2017
Date: Sep 18, 2017 9:00 am – Sep 22, 2017 8:00 pm
Location: Tucson, Arizona
The 3rd International Workshop on Data-driven Self-regulating Systems (DSS 2017)
In conjunction with 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO),
Proceedings appear in IEEE Digital Library
The emergence of pervasive and ubiquitous technologies together with social media has resulted in unprecedented opportunities to reason about the complexity of our society based on magnitudes of data. Embedded ICT technologies mandate the functionality and operations of several techno-socio-economic systems such as traffic systems, transportation systems, Smart Grids, power/gas/water networks, etc. It is estimated that over 50 billion connected smart devices will be online by the year 2020. Moreover, social media provide invaluable insights about the complexity of social interactions and how these interactions influence the sustainability of several ICT-enabled techno-socio-economic systems. These observations show that regulating online the complex systems of our nowadays digital society is a grand challenge. Regulation concerns trade-offs such as the alignment of technical requirements, e.g. robustness, fault-tolerance, safety and security, with social or environmental requirements, for instance, fairness in the utilization of energy resources. The scale of nowadays data cannot tackle the challenge by itself as data may convey ungrounded correlations and biased predictions. Smart, autonomic and selfregulating mechanisms are required for filtering data streams in real-time and transform them to valuable information based on which intelligent adaptive decisions can be made in a decentralized fashion under a plethora of operational scenarios.
The topics of interest include, but are not limited to:
+ self-regulation
+ autonomic computing
+ pervasive/ubiquitous computing
+ Internet of Things
+ big data analytics
+ cloud computing
+ online policy-making
+ distributed systems
+ privacy & security
+ multi-agent systems
+ peer-to-peer systems
+ self-organization
+ adaptive mechanisms
+ complex systems & (social) networks
+ mechanism design & game theory
+ quality of experience
Application domains:
+ Smart Grids
+ power/gas/water networks
+ traffic systems
+ manufacturing systems
+ transportation systems
+ ambient-assisted living
+ social media/networks
+ mobile applications
+ disease spreading
Keynote Speaker
Dr. Mark Yao
Utopus Insights - Spinoff of Smarter Energy, IBM T.J. Watson Research Center
Dr. Mark G. Yao is a Senior Research and Development member of Utopus Insights. With more than 18 years both industrial and academic experience, Dr. Yao’s research and development work focused on distributed, event-driven and agent-based distributed computing system. He is also a domain expert in networked intelligent sensor & actuator system, Cyber-Physical System (CPS), Internet of Things (IoT). Prior join of Utopus Insights, Dr. Yao was the research scientist and senior software architect at IBM Thomas J. Watson Research Center in Yorktown Heights, NY. He was the IBM technical lead and solution architect for several join research project sponsored by U.S. government department of energy, including 2010-2015 Pacifc Northwest Smart Grid Demonstration Project and 2007 Gridwise Olympic Peninsula Gridwise Testbed project. He was the original designer and lead developer of Internet-scale Control System (iCS), a framework of developing agent-based, event-driven and distributed control system. He won numerous IBM Corporate Awards, Research Outstanding Technical Achievement Awards, Outstanding Innovation Awards. Before his career of industry research, Dr. Yao was adjunct professor and conducted teaching and research in several universities in New York state. Dr. Yao has Ph.D. of physics, with specialty of photonics & optoelectroincs.
Workshop Organizers
- Evangelos Pournaras, ETH Zurich, Switzerland
- Akshay Uttama Nambi S.N., Microsoft Research Lab, India
- Stefan Bosse, University of Bremen, Germany
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on
The 3rd International Workshop on Data-driven Self-regulating Systems (DSS 2017)
In conjunction with 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO),
Proceedings appear in IEEE Digital Library
The emergence of pervasive and ubiquitous technologies together with social media has resulted in unprecedented opportunities to reason about the complexity of our society based on magnitudes of data. Embedded ICT technologies mandate the functionality and operations of several techno-socio-economic systems such as traffic systems, transportation systems, Smart Grids, power/gas/water networks, etc. It is estimated that over 50 billion connected smart devices will be online by the year 2020. Moreover, social media provide invaluable insights about the complexity of social interactions and how these interactions influence the sustainability of several ICT-enabled techno-socio-economic systems. These observations show that regulating online the complex systems of our nowadays digital society is a grand challenge. Regulation concerns trade-offs such as the alignment of technical requirements, e.g. robustness, fault-tolerance, safety and security, with social or environmental requirements, for instance, fairness in the utilization of energy resources. The scale of nowadays data cannot tackle the challenge by itself as data may convey ungrounded correlations and biased predictions. Smart, autonomic and selfregulating mechanisms are required for filtering data streams in real-time and transform them to valuable information based on which intelligent adaptive decisions can be made in a decentralized fashion under a plethora of operational scenarios.
The topics of interest include, but are not limited to:
+ self-regulation
+ autonomic computing
+ pervasive/ubiquitous computing
+ Internet of Things
+ big data analytics
+ cloud computing
+ online policy-making
+ distributed systems
+ privacy & security
+ multi-agent systems
+ peer-to-peer systems
+ self-organization
+ adaptive mechanisms
+ complex systems & (social) networks
+ mechanism design & game theory
+ quality of experience
Application domains:
+ Smart Grids
+ power/gas/water networks
+ traffic systems
+ manufacturing systems
+ transportation systems
+ ambient-assisted living
+ social media/networks
+ mobile applications
+ disease spreading
Keynote Speaker
Dr. Mark Yao
Utopus Insights - Spinoff of Smarter Energy, IBM T.J. Watson Research Center
Dr. Mark G. Yao is a Senior Research and Development member of Utopus Insights. With more than 18 years both industrial and academic experience, Dr. Yao’s research and development work focused on distributed, event-driven and agent-based distributed computing system. He is also a domain expert in networked intelligent sensor & actuator system, Cyber-Physical System (CPS), Internet of Things (IoT). Prior join of Utopus Insights, Dr. Yao was the research scientist and senior software architect at IBM Thomas J. Watson Research Center in Yorktown Heights, NY. He was the IBM technical lead and solution architect for several join research project sponsored by U.S. government department of energy, including 2010-2015 Pacifc Northwest Smart Grid Demonstration Project and 2007 Gridwise Olympic Peninsula Gridwise Testbed project. He was the original designer and lead developer of Internet-scale Control System (iCS), a framework of developing agent-based, event-driven and distributed control system. He won numerous IBM Corporate Awards, Research Outstanding Technical Achievement Awards, Outstanding Innovation Awards. Before his career of industry research, Dr. Yao was adjunct professor and conducted teaching and research in several universities in New York state. Dr. Yao has Ph.D. of physics, with specialty of photonics & optoelectroincs.
Workshop Organizers
- Evangelos Pournaras, ETH Zurich, Switzerland
- Akshay Uttama Nambi S.N., Microsoft Research Lab, India
- Stefan Bosse, University of Bremen, Germany