Formal Modeling and Analysis of Data Flow in API-Integrated Systems Using the Petri Net Model
Rustamxon Mexmonov , Associate Professor of the Tashkent Branch of the University of Business and Science, Uzbekistan Otabek Shukurov , Master’s student of the Tashkent Branch of the University of Business and Science, UzbekistanAbstract
This work considers the issue of integrating Internet of Things (IoT) resources into business process management systems. The modern business environment requires processes to be flexible, reusable, and quickly adapt to different conditions. Therefore, configurable process models are considered an effective approach that reduces the need to develop processes from scratch and forms options that meet business requirements. However, the heterogeneity of IoT devices, resource limitations, energy consumption, computational costs, and interoperability problems complicate their full integration into business processes. Existing studies have mainly analyzed the control flow or human resources, and the perspective of IoT resources has not been sufficiently studied. This work proposes a formal introduction of IoT resources into business process models, taking into account their sharing and redeployment properties, and a configurable distribution approach. The proposed model is evaluated based on real data, and its effectiveness and practical applicability are substantiated.
Keywords
Petri nets, API integration, real-time process
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