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Enabling Self-adaptive Workflows for Cyber-physical Systems

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2016, EMMSAD 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 248))

Abstract

The ongoing development of Internet of Things technologies leads to the interweaving of the virtual world of software with the physical world. However, applying workflow technologies for automating processes in these Cyber-physical Systems (CPS) poses new challenges as the real world effects of a process have to be verified to provide a consistent view of the cyber and physical world executions. In this work we present a synchronization and adaptation mechanism for processes based on the MAPE-K feedback loop for self-adaptive systems. By applying this loop, sensor and context information can be used to verify the real world effects of workflow execution and adapt the process in case of errors. The approach increases autonomy and resilience of process execution in CPS due to the self-adaptation capabilities. We present generic extensions to process meta-models and execution engines to implement the feedback loop and discuss our approach within a smart home scenario.

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Author information

Authors and Affiliations

  1. Institute of Software and Multimedia Technology, Technische Universität Dresden, 01062, Dresden, Germany

    Ronny Seiger, Steffen Huber, Peter Heisig & Uwe Assmann

Authors
  1. Ronny Seiger
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  2. Steffen Huber
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  3. Peter Heisig
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  4. Uwe Assmann
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Corresponding author

Correspondence to Ronny Seiger .

Editor information

Editors and Affiliations

  1. Munich University of Applied Scienc, Munich, Germany

    Rainer Schmidt

  2. Luxembourg Inst. of Science & Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  3. Dept. of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden

    Ilia Bider

  4. Univ. Lusófona de Humanidades e Techn., Lisboa, Portugal

    Sérgio Guerreiro

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Seiger, R., Huber, S., Heisig, P., Assmann, U. (2016). Enabling Self-adaptive Workflows for Cyber-physical Systems. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_1

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