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Software and Systems Modeling
Erschienen in: Software and Systems Modeling 2/2019

24.11.2017 | Special Section Paper

Toward a framework for self-adaptive workflows in cyber-physical systems

verfasst von: Ronny Seiger, Steffen Huber, Peter Heisig, Uwe Aßmann

Erschienen in: Software and Systems Modeling | Ausgabe 2/2019

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Abstract

With the establishment of Cyber-physical Systems (CPS) and the Internet of Things, the virtual world of software and services and the physical world of objects and humans move closer together. Despite being a useful means for automation, BPM technologies and workflow systems are yet not fully capable of executing processes in CPS. The effects on and possible errors and inconsistencies in the physical world are not considered by “traditional” workflow engines. In this work we propose a framework for self-adaptive workflows in CPS based on the MAPE-K feedback loop. Within this loop monitoring and analysis of additional sensor and context data is used to check for unanticipated errors in the physical world. Planning and execution of compensation actions restores Cyber-physical Consistency, which leads to an increased resilience of the process execution environment. The framework facilitates the separation of CPS aspects from the “regular” workflow views. We show the feasibility of this approach in a smart home scenario and discuss the application of our approach for legacy BPM systems.
Vorheriger Artikel Consistency requirements in business process modeling: a thorough overview
Nächster Artikel Managing time-awareness in modularized processes

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Metadaten
Titel
Toward a framework for self-adaptive workflows in cyber-physical systems
verfasst von
Ronny Seiger
Steffen Huber
Peter Heisig
Uwe Aßmann
Publikationsdatum
24.11.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 2/2019
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-017-0639-0

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