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Self-Adaptation in Highly Distributed Dynamic Systems: part of Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self-Adaptive Systems

Abstract : This breakout group focused on identifying the challenges of performing self-adaptation in highly distributed dynamic systems. This is a pressing issue in self-adaptive systems research, as proposed ``smart" systems are increasingly built out of disparate entities (sensors and actuators) that feature a close connection to the physical world -- so-called cyber-physical systems (CPSs). Examples are numerous: intelligent vehicle navigation, fleets of autonomous robots, emergency coordination systems, to mention just a few. CPSs are typically distributed at the physical space and feature no firm boundaries -- they are open-ended. They are composed of loosely connected entities, that are often mobile. Grafting such systems with self-adaptive capabilities is a distinct challenge, which projects itself in all phases of the autonomic loop.
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https://hal.inria.fr/hal-01108475
Contributor : Krikava Filip <>
Submitted on : Thursday, February 19, 2015 - 11:24:15 AM
Last modification on : Thursday, January 7, 2021 - 2:30:03 PM
Long-term archiving on: : Wednesday, May 27, 2015 - 1:41:20 PM

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Ilias Gerostathopoulos, Sebastian Götz, Filip Krikava, Adnan Shahzada, Romina Spalazzese. Self-Adaptation in Highly Distributed Dynamic Systems: part of Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self-Adaptive Systems. Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self-Adaptive Systems, Oct 2014, Dagstuhl, Germany. 2014. ⟨hal-01108475⟩

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