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BPMNE4IoT: A Framework for Modeling, Executing and Monitoring IoT-Driven Processes

Author

Listed:
  • Yusuf Kirikkayis

    (Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany)

  • Florian Gallik

    (Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany)

  • Michael Winter

    (Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97070 Würzburg, Germany)

  • Manfred Reichert

    (Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany)

Abstract

The Internet of Things (IoT) enables a variety of smart applications, including smart home, smart manufacturing, and smart city. By enhancing Business Process Management Systems with IoT capabilities, the execution and monitoring of business processes can be significantly improved. Providing a holistic support for modeling, executing and monitoring IoT-driven processes, however, constitutes a challenge. Existing process modeling and process execution languages, such as BPMN 2.0, are unable to fully meet the IoT characteristics (e.g., asynchronicity and parallelism) of IoT-driven processes. In this article, we present BPMNE4IoT—A holistic framework for modeling, executing and monitoring IoT-driven processes. We introduce various artifacts and events based on the BPMN 2.0 metamodel that allow realizing the desired IoT awareness of business processes. The framework is evaluated along two real-world scenarios from two different domains. Moreover, we present a user study for comparing BPMNE4IoT and BPMN 2.0. In particular, this study has confirmed that the BPMNE4IoT framework facilitates the support of IoT-driven processes.

Suggested Citation

  • Yusuf Kirikkayis & Florian Gallik & Michael Winter & Manfred Reichert, 2023. "BPMNE4IoT: A Framework for Modeling, Executing and Monitoring IoT-Driven Processes," Future Internet, MDPI, vol. 15(3), pages 1-34, February.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:90-:d:1077084
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    Keywords

    IoT; BPM; BPMN; IoT-driven processes;
    All these keywords.

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