August 26-28, 2020
Motivation: For more than 25 years extensive software/hardware research and development efforts had been devoted to problems in real-time, safety-critical, and embedded systems. Security and safety issues were considered crucial in mission-critical systems. While all such constraints had been derived as design problems in software control systems for real-world applications, they were treated as separate aspects since each of them proved even difficult enough even when studied separately. While this resulted gradually in nearly different scientific disciplines it turned out to be increasingly inadequate for the construction of large control systems, in particular for applications with (partially) autonomous entities and decision-making: As a well-known example, optimal real-time performance may well be adverse to optimal overall throughput, and vice versa. Traditional approaches for modeling and analyzing self-organizing process systems (e.g. optimization or other classical theoretical methods) normally fall short concerning efficient solutions in practice. They often do not really scale: With a growing system size, the computation time may well explode considering also real-time constraints.
In several novel application areas like smart power grids, renewable energy and electric power management, routing in today’s and future Internet applications, transportation planning or traffic control systems in logistics, smart health-care systems, Internet-of-Things, interconnected and collaborative intelligent mobility solutions, and self-driving vehicles, novel technological developments have posed a class of novel cross-disciplinary R&D themes where modeling, implementing, analyzing, and systematically experimenting by incorporating simulative approaches require a very close collaboration between researchers and developers in the disciplines involved. Solutions have been pursued, and even implemented, which borrow principles from Natural Computing, Swarm Intelligence, and Simulation Engineering. Also, they replace conventional approaches issuing exact solutions, which are practically irrelevant, through iterative and adaptive methods which are faster to obtain and at the same time of top quality (Self-Organizing Maps). Open problems such as on-line organization, consistency, self-adaptiveness, and availability of mobile and dynamic geographic data (in outer space, in wide-spread maritime operations etc.) have been identified as particular candidates for self-organizing research among many others. For all such questions and problems, hardware and software aspects need to be jointly considered and studied
Topics of interest include, but are not restricted to:
The conference proceedings in the last years have been published by the IEEE Computer Society. The format is the IEEE two-column proceedings format (8 pages for full papers and 4 pages for short papers).
Submission Guidelines: SEAA 2020 encourages the submission of full research papers (maximum 8 pages), short papers and tool demo papers (maximum 4 pages), and posters. Papers follow a single-blinded reviewing process and must contain original unpublished work, describe significant novel contributions, and provide evidence on the validation of results. In particular, reports on industrial applications are welcome.
Submissions URL: https://easychair.org/conferences/?conf=seaa2020 (choose Cyber-Physical Systems track when submitting)
Conference Publishing Services (CPS) will publish accepted papers in the conference proceedings and the proceedings will be submitted to the IEEE Xplore Digital library and indexing services.
Please note that it is planned to select best papers among all tracks of SEAA and present them with an award. A selection of best papers will be invited to submit extended versions for tentative publication in a requested Special Issue of a Journal (under negotiation).
Special Session Organizers:
Karl-Erwin Großpietsch, Euromicro
Konrad Kloeckner, Euromicro
Jakob Axelsson, Mälardalen University, Sweden
Florian Bock, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany
Holger Giese, Hasso Plattner Institute at the University of Potsdam, Germany
Thomas Goldschmidt, ABB Corporate Research, Germany
Jonas Jansson, VTI, Sweden
Verena Klös, TU Berlin, Germany
Bernhard Rumpe, RWTH Aachen University, Germany
Christoph Seidl, Technische Universität Braunschweig, Germany
Ulrike Thomas, Technische Universität Chemnitz, Germany
Jonas Tisell, CJP Ventures, Sweden
Sebastian Zug, Universität Magdeburg, Germany