Self-Adaptation in Highly Distributed Dynamic Systems - Inria - Institut national de recherche en sciences et technologies du numérique
Document Associé À Des Manifestations Scientifiques Année : 2014

Self-Adaptation in Highly Distributed Dynamic Systems

Résumé

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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Dates et versions

hal-01108475 , version 1 (19-02-2015)

Identifiants

  • HAL Id : hal-01108475 , version 1

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Ilias Gerostathopoulos, Sebastian Götz, Filip Krikava, Adnan Shahzada, Romina Spalazzese. Self-Adaptation in Highly Distributed Dynamic 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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