Abstract
Business Process Management (BPM) has a wide range of applications in various fields such as intelligent telemedicine, logistics and supply chain management. The integration of real-time event streams generated by smart sensors from the IoT into business processes (BP) can enable BPM to perceive changes in the physical world more quickly and accurately. However, the Business Process Model and Notation (BPMN) specification does not support the direct modeling of Complex Event Processing (CEP) for IoT event streams. The construction of a BP model that supports CEP has high requirements for business users, and it also brings a high load to the BPM engine. This paper proposes a modeling method by extending the custom attributes of the BPMN activity element, which can support business users to define CEP on IoT real-time event streams. At the same time, a supporting framework that integrates the BPM engine and CEP engine is also proposed, which can effectively execute BP instances that integrate IoT event streams. A case proves that the method proposed in this paper can effectively and friendly construct the IoT-aware process model and reduce the load of the BPM engine.
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Acknowledgments
This work is supported by the International Cooperation and Exchange Program of National Natural Science Foundation of China (No. 62061136006), and the Key Program of National Natural Science Foundation of China (No. 61832004).
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Li, Q., Wang, J., Chen, G., Yuan, Y., Ye, S. (2021). Business-Oriented IoT-Aware Process Modeling and Execution. In: Xing, C., Fu, X., Zhang, Y., Zhang, G., Borjigin, C. (eds) Web Information Systems and Applications. WISA 2021. Lecture Notes in Computer Science(), vol 12999. Springer, Cham. https://doi.org/10.1007/978-3-030-87571-8_65
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