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A Framework for Self-adaptive Workflows in Cyber-physical Systems

dc.contributor.authorSeiger, Ronny
dc.contributor.authorHuber, Steffen
dc.contributor.authorHeisig, Peter
dc.contributor.authorAssmann, Uwe
dc.contributor.editorBecker, Steffen
dc.contributor.editorBogicevic, Ivan
dc.contributor.editorHerzwurm, Georg
dc.contributor.editorWagner, Stefan
dc.date.accessioned2019-03-14T11:49:19Z
dc.date.available2019-03-14T11:49:19Z
dc.date.issued2019
dc.description.abstractWorkflows can be a useful means to formalize and enact processes among the sensors, actuators, smart objects and humans in Cyber-physical Systems (CPS). However, the dynamic nature of CPS and their resource constraint entities require the workflows and Workflow Management Systems (WfMSes) to be resilient and self-adaptive to deal with unanticipated situations and exceptions. We propose a generic framework based on the MAPE-K feedback loop to add self-management capabilities to WfMSes in the context of CPS. A case study in the smart home domain shows the general applicability of our framework for workflows and various WfMSes.en
dc.identifier.doi10.18420/se2019-38
dc.identifier.isbn978-3-88579-686-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20898
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering and Software Management 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-292
dc.subjectWorkflows
dc.subjectCyber-physical Systems
dc.subjectBusiness Processes
dc.subjectInternet of Things
dc.titleA Framework for Self-adaptive Workflows in Cyber-physical Systemsen
dc.typeText/Conference Paper
gi.citation.endPage126
gi.citation.publisherPlaceBonn
gi.citation.startPage125
gi.conference.date18.-22. Februar 2019
gi.conference.locationStuttgart, Germany
gi.conference.sessiontitleSession 11: Cyber-physische Systeme

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