Decentralized Self-Adaptation in Large-Scaled Systems of SystemsDoctoral Symposium
Today’s distributed applications require steady maintenance. To tackle this problem, so-called self-adaptive systems (SAS) can be used to change the behaviour automatically to adapt to a changing environment and context. Open challenges remain when those SAS get combined with Systems of Systems (SoS). SoS can get partitioned in multiple subsystems as a result of errors or connection faults which rises the need for a decentralized self-adaptation approach in SoS. In this doctoral paper, those open challenges are discussed and explained using a scenario of self-driving vehicles. Ideas for solving the problems are presented and the evaluation method of using the Webots simulation environment is explained. Solving the problems of self-adaptive SoS will enable robust adaptations in large-scale systems.
Fri 18 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
12:20 - 13:00 | S11: Self-adaptation and Uncertainity (I)Doctoral Symposium at ECSA 2020 Teams Channel Chair(s): Jesper Andersson Linnaeus University, Danny Weyns KU Leuven Virtualization support: Aurora Macias | ||
12:20 20m | Decentralized Self-Adaptation in Large-Scaled Systems of SystemsDoctoral Symposium Doctoral Symposium Daniel Matusek TU Dresden | ||
12:40 20m | Systematic Approach To Engineer Decentralized Self-Adaptive SystemsDoctoral Symposium Doctoral Symposium Federico Quin Katholieke Universiteit Leuven |