Smart grid / smart home self-adaptive exemplar

  • Self-adaptive software (SAS) constitutes a key ingredient in the realization of cyber-physical systems that are inherently distributed. A very prominent example of such systems is found in the area of smart homes coupled with smart energy capabilities. Such a home can for instance offer production via photovoltaic plants or storage reserves in form of an electric vehicle. Designing efficient distributed control strategies is important - yet many approaches start from a very customized and hence incomparable initial setup. We therefore discussed an exemplar case study that could serve as a benchmark for evaluations of self-adaptations mechanisms. To be useful for SAS-developers, we included an initial meta-model and both a set of user stories that target requirements of quantities to be evaluated as well as a set of user stories highlighting possible collaboration scenarios (fully centralized vs. fully decentralized, proactive vs. reactive) inspired by ongoing research in the smart gridSelf-adaptive software (SAS) constitutes a key ingredient in the realization of cyber-physical systems that are inherently distributed. A very prominent example of such systems is found in the area of smart homes coupled with smart energy capabilities. Such a home can for instance offer production via photovoltaic plants or storage reserves in form of an electric vehicle. Designing efficient distributed control strategies is important - yet many approaches start from a very customized and hence incomparable initial setup. We therefore discussed an exemplar case study that could serve as a benchmark for evaluations of self-adaptations mechanisms. To be useful for SAS-developers, we included an initial meta-model and both a set of user stories that target requirements of quantities to be evaluated as well as a set of user stories highlighting possible collaboration scenarios (fully centralized vs. fully decentralized, proactive vs. reactive) inspired by ongoing research in the smart grid community.show moreshow less

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Metadaten
Author:Amel Belaggoun, Alexander Frömmgen, Alexander SchiendorferORCiDGND, Matthias Tichy, Sebastian Wätzoldt
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/64471
URL:https://gupea.ub.gu.se/bitstream/2077/37775/1/gupea_2077_37775_1.pdf
ISSN:1654-4870OPAC
Parent Title (English):Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self-Adaptive Systems
Publisher:Chalmers University of Technology and University of Gothenburg
Place of publication:Göteborg
Editor:Thomas Vogel, Matthias Tichy, Alessandra Gorla
Type:Conference Proceeding
Language:English
Year of first Publication:2014
Release Date:2019/11/04
First Page:6
Series:Research Reports in Software Engineering and Management ; 2014:02
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Software & Systems Engineering
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Lehrstuhl für Softwaretechnik