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

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Datum

2019

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Gesellschaft für Informatik e.V.

Zusammenfassung

Workflows 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.

Beschreibung

Seiger, Ronny; Huber, Steffen; Heisig, Peter; Assmann, Uwe (2019): A Framework for Self-adaptive Workflows in Cyber-physical Systems. Software Engineering and Software Management 2019. DOI: 10.18420/se2019-38. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-686-2. pp. 125-126. Session 11: Cyber-physische Systeme. Stuttgart, Germany. 18.-22. Februar 2019

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