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

Yusuf Kirikkayis (), Florian Gallik, Michael Winter and Manfred Reichert
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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

Future Internet, 2023, vol. 15, issue 3, 1-34

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.

Keywords: IoT; BPM; BPMN; IoT-driven processes (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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