International Workshop on Data-driven Self-regulating Systems

24.05.2017

The 3rd International Workshop on Data-driven Self-regulating Systems (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*).

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.

 

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Wed Aug 16 00:37:36 CEST 2017
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