Over the last decade we have witnessed the success of artifact-centric approach in business process management (BPM). However the scalability issue was neglected by almost all its implementation frameworks. A non-scalable framework will severely hamper applicability of corresponding artifact-centric BPM systems in large-scale applications. Considering distinct characteristics of the Representational State Transfer (REST) architectural style we propose a distributed artifactcentric BPM framework based on REST principles. A prototype is developed using Docker-based micro services for continuously delivering of process engine instances. Through extensive experiments against a typical process-aware application we confirm that the proposed framework is promising to support scalable artifact-centric BPM systems.
CITATION STYLE
Lei, J., Bai, R., Guo, L., & Zhang, L. (2016). Towards a scalable framework for artifact-centric business process management systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10042 LNCS, pp. 309–323). Springer Verlag. https://doi.org/10.1007/978-3-319-48743-4_25
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