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The 3rd International Workshop on
Data-driven Self-regulating Systems (DSS 2017)

18-22 September 2017, University of Arizona, Tucson, AZ

In conjuction with 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)



News:

  • 23/05/2017 Keynote speech confirmed by Dr. Mark Yao, Utopus Insights, Spinoff of Smart Energy, IBM T.J. Watson Research Center
  • 04/05/2017 Call for paper announced! Download
Sponsored by some text

DSS 2017 will be held along with the 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). SASO is part of the Foundations and Applications of Self* Systems (FAS*).

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 aim of the 3rd International Workshop on Data-driven Self-regulating Systems is to foster interactions between researchers of different disciplines working on challenges about the self- organization and self-adaptation of complex techno-socio-economic systems. It also aims to promote communication and exchange of ideas between academia and industry. The workshop will run for a full day and will include (i) keynote speakers, (ii) presentation of papers and (iii) a panel discussion. Panelist may include distinguished researchers who participate in the international research hubs of several large significant projects such as Nervousnet, SoBigData, ASSET, etc.


Topics

Topics and application domains may include (but not limited to) the following:

  • self-regulation
  • autonomic computing
  • pervasive/ubiquitous computing
  • nternet of Things
  • big data analytics
  • cloud computing
  • online policy-making
  • distributed systems
  • multi-agent systems
  • peer-to-peer systems
  • self-organization
  • adaptive mechanisms
  • complex systems & (social) networks
  • mechanism design
  • game theory
  • quality of experience
  • privacy & security
  • Smart Grids
  • power/gas/water networks
  • traffic systems
  • manufacturing systems
  • transportation systems
  • ambient-assisted living
  • social media/networks
  • mobile applications
  • disease spreading


Workshop Chairs

  • Evangelos Pournaras - ETH Zurich, Switzerland
  • Akshay Uttama Nambi S.N. - Microsoft Research Lab India
  • Stefan Bosse - University of Bremen

    • For any inquiries, please contact us here.

      Program Committee

      Ioanna Miliou, University of Pisa, Italy

      Florin Pop, University Politehnica of Bucharest, Romania

      Marta Lenartowicz, Free University of Brussels, Belgium

      Johannes Klinglmayr, Linz Center of Mechatronics, Austria

      Luca Pappalardo, University of Pisa, Italy

      Salvatore Ruggieri, University of Pisa, Italy

      Alexei Sharpanskykh, Delft University of Technology, The Netherlands

      Tobias Kuhn, VU University Amsterdam, The Netherlands

      Ioannis Korkontzelos, Edge Hill University

      Viktoria Spaiser, University of Leeds, UK

      Mark Cote, King's College London, UK

      Izabela Moise, Swiss Data Science Center, Switzerland

      Josef Spillner, Zurich University of Applied Science, Switzerland

      Fragkiskos Maliaros, UC San Diego, USA

      Takuto Sakamoto, University of Tokyo, Japan

      Mirco Musolesi, University College London, UK

      Amineh Ghorbani, Delft University of Technology, The Netherlands

      George Lekakos, Athens University of Economis and Business, Greece

      Spyros Voulgaris, VU University Amsterdam, The Netherlands

      Huijuan Wang, Delft University of Technology, The Netherlands


      Important Dates

      • Submission Deadline: July 17, 2017
      • Authors Notification: July 30, 2017
      • Final Manuscript Due: August 4, 2017

      Submission Instructions

      You are invited to submit original and unpublished research works on above and other topics related to self-regulating systems. Submitted papers must not have been published or simultaneously submitted elsewhere. Please, indicate clearly the corresponding authors and include up to 6 keywords and an abstract of no more than 400 words. Submissions have to be formatted according to the IEEE Computer Society Press proceedings style guide and not exceeding 6 two-column pages. Papers are submitted as PDF files via the Easychair. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, contributions, technical clarity and presentation. Authors of accepted papers must guarantee that their papers will be registered and presented at the workshop. Workshop proceedings will be published in IEEE Computer Society’s Conference Publishing Services.

      Authors of distinguished workshop papers may be invited to extend their workshop papers for their possible publication in a special issue of an international journal.


      Keynote Speaker


      Orchestration of Electrical Power Grid with Transactive Distributed Energy Resources (DER)

      Dr. Mark Yao
      Utopus Insights
      Spinoff of Smarter Energy, IBM T.J. Watson Research Center



      Abstract
      With the capabilities of dynamic, real-time and networked automation, distributed energy resources (DER) have become one game-changing driving force to transform electrical power systems into flexible, resilient, cost-effective and greener Cyber-Physical System infrastructure. DERs represent suite of smart-grid assets across value-chain of electricity demand-supply: from distributed renewable generation (solar PV, wind) to electricity storage systems (battery, EV) and flexibility, responsive demand (DR). Meanwhile, with all the advantages and benefits, fast growth of DERs also bring many unseen challenges for utilities and system operators due to the complexities caused by the distributed nature of DER and the diversified business, social, economic and operational objectives of DER owner from both sides of demand and supply. Transactive energy (TE), emerged originally as innovative method to balance electrical demand-and-supply with value-based economic/incentive signal, has become one of smart-grid technology standards to manage various system objectives, constraints and uncertainties in a distributed fashion. Combined with advanced technology from IoT and cloud computing, TE provides an ideal distributed and data/information driven platform to manage and orchestrate DER for utilities and grid operator, and even energy users. The objectives of this talk are 1) to give a brief and informative introduction of current trends and challenges of DER and TE, and 2) to introduce how-to and sample use-cases of Transactive Energy technology to manage DER at large internet-scale in the landscape of ever digitized and data-driven network-connected smart energy grid.

      some text 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 Pacific 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 for developing agent-based, event-driven and distributed control systems. 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 a Ph.D. in physics, with specialty of photonics & optoelectronics.

      Final Program

      TBA

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