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dTAS: A Decentralized Self-Adaptive Service-Based System Exemplar
Katholieke Universiteit Leuven, Belgium.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Katholieke Universiteit Leuven, Belgium.ORCID iD: 0000-0002-1162-0817
2020 (English)In: Proceedings - 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2020, IEEE, 2020, p. 224-225Conference paper, Published paper (Refereed)
Abstract [en]

Research of self-adaptive systems can benefit from different exemplars to test and compare research methods and results. Although the number of exemplars for this area is rising, the exemplars for decentralized self-adaptive systems are limited. To that end, we introduce dTAS (decentralized Tele-Assistance System), an exemplar in the domain of service-based systems that targets decentralized adaptation of entities equipped with a classic MAPE-K feedback loop. dTAS offers predefined features that enable users to specify systems and plug in MAPE components with protocols to coordinate adaptation using different coordination patterns. We illustrate the exemplar for a scenario with three entities where the planner components coordinate the adaptation to realize their adaptation goals. © 2020 IEEE.

Place, publisher, year, edition, pages
IEEE, 2020. p. 224-225
Keywords [en]
coordination patterns, decentralized adaptation, MAPE-K loop, self-adaptation, service-based system, Computer programming, Computer science, Adaptive services, Assistance system, Feed-back loop, Plug-ins, Self-adaptive system, Service-based systems, Adaptive systems
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-108443DOI: 10.1109/ACSOS-C51401.2020.00060ISI: 000719366200041Scopus ID: 2-s2.0-85092745940ISBN: 9781728184142 (print)OAI: oai:DiVA.org:lnu-108443DiVA, id: diva2:1618012
Conference
1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2020Virtual, Washington, 17-21 August 2020
Available from: 2021-12-08 Created: 2021-12-08 Last updated: 2023-06-21Bibliographically approved

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Weyns, Danny

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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More languages
Output format
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