Abstract
Often, real world business processes are constantly changing and dynamic in nature. These runtime changes may stem from various requirements, such as changes to the goals of the business process, changes to the business rules of the organization, or exceptions arising during the workflow execution. Unfortunately, traditional workflow management systems do not provide sufficient flexibility to accommodate such dynamic and adaptive workflows that support run-time changes of in-progress workflow instances. Moreover, traditional workflow management is accomplished by a single centralized workflow management engine, which may not only be a performance bottleneck, but also unsuitable for the emerging internet-based commerce and service environments where workflows may span many organizations that are autonomous. In this paper, we propose a formal model for a decentralized workflow change management (DWFCM) that uses a rules topic ontology and a service ontology to support the needed run-time flexibilty. We present a system architecture and the workflow adaptation process that generates a new workflow that is migration consistent with the original workflow.
This work is partially supported by the National Science Foundation under grant EIA-9983468 and by MERI (the Meadowlands Environmental Research Institute).
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References
Atluri, V., Chun, S.A., Mazzoleni, P.: A Chinese Wall Security Model for Decentralized Workflow Systems. In: Proceedings of the 8th ACM Conference on Computer and Communications Security, pp. 48–57. ACM Press, New York (2001)
Atluri, V., Chun, S.A., Mazzoleni, P.: Chinese Wall Security for Decentralized Workflow Management Systems. Journal of Computer Security (2003) (in press)
Casati, F., Ceri, S., Pernici, B., Pozzi, G.: Workflow Evolution. Data & Knowledge Engineering 24, 211–238 (1998)
Casati, F., Ilnicki, S., Jin, L.j., Krishnamoorthy, V., Shan, M.-C.: Adaptive and Dynamic Service Composition in eFlow. In: Wangler, B., Bergman, L.D. (eds.) CAiSE 2000. LNCS, vol. 1789, pp. 13–31. Springer, Heidelberg (2000)
Chun, S.A.: Decentralized Management of Dynamic and Customized Workflow. PhD thesis, Department of Mangement Science and Information Systems, Rutgers University, Newark (2003)
Chun, S.A., Atluri, V., Adam, N.R.: Domain Knowledge based Automatic Workflow Generation. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds.) DEXA 2002. LNCS, vol. 2453, p. 81. Springer, Heidelberg (2002)
Ellis, C., Keddara, K., Rozenberg, G.: Dynamic change within workflow systems. In: Proceedings of Conference on Organizational Computing Systems (1995)
Klein, M., Dellarocas, C.: A Knowledge-Based Approach to Handling Exceptions in Workflow Systems. Journal of Computer-Supported Collaborative Work. Special Issue on Adaptive Workflow Systems 9(3/4) (August 2000)
Muller, R., Heller, B., Loffler, M., Rahm, E., Winter, A.: HematoWork: A Knowledge-based Workflow System for Distributed Cancer Therapy. In: Proc. GMDS 1998, Bremen (September 1998)
Sadiq, S.: On Capturing Exceptions in Workflow Process Models. In: Proceedings of the 4th International Conference on Business Information Systems, Poznan, Poland. Springer, Heidelberg (2000)
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Atluri, V., Chun, S.A. (2003). Handling Dynamic Changes in Decentralized Workflow Execution Environments. In: MaÅ™Ãk, V., Retschitzegger, W., Å tÄ›pánková, O. (eds) Database and Expert Systems Applications. DEXA 2003. Lecture Notes in Computer Science, vol 2736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45227-0_79
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DOI: https://doi.org/10.1007/978-3-540-45227-0_79
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