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dTAS: A Decentralized Self-Adaptive Service-Based System Exemplar
Katholieke Universiteit Leuven, Belgium.
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Katholieke Universiteit Leuven, Belgium.ORCID-id: 0000-0002-1162-0817
2020 (engelsk)Inngår i: Proceedings - 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2020, IEEE, 2020, s. 224-225Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE, 2020. s. 224-225
Emneord [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
HSV kategori
Forskningsprogram
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-108443DOI: 10.1109/ACSOS-C51401.2020.00060ISI: 000719366200041Scopus ID: 2-s2.0-85092745940ISBN: 9781728184142 (tryckt)OAI: oai:DiVA.org:lnu-108443DiVA, id: diva2:1618012
Konferanse
1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2020Virtual, Washington, 17-21 August 2020
Tilgjengelig fra: 2021-12-08 Laget: 2021-12-08 Sist oppdatert: 2023-06-21bibliografisk kontrollert

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