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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.identifier.isbn978-3-88579-686-2
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/20898
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.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
dc.pubPlaceBonn
mci.reference.pages125-126
mci.conference.sessiontitleSession 11: Cyber-physische Systeme
mci.conference.locationStuttgart, Germany
mci.conference.date18.-22. Februar 2019
dc.identifier.doi10.18420/se2019-38


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