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Recovery Nets: Towards Self-Adaptive Workflow Systems.

Hamadi, Rachid; Benatallah, Boualem

In: Xiaofang Zhou, Stanley Su, Mike P. Papazoglou, et al. (Eds.): Lecture Notes in Computer Science, Vol. 3306: Web Information Systems - WISE 2004: 5th International Conference on Web Information Systems Engineering, Brisbane, Australia, November 22-24, 2004, pages 439-453. Springer-Verlag, 2004.

Abstract: A workflow management system (WfMS) provides a central control point for defining business processes and orchestrating their execution. A major limitation of current WfMSs is their lack of support for dynamic workflow adaptations. This functionality is an important requirement in order to provide sufficient flexibility to cope with expected but unusual situations and failures. In this paper, we propose Self-Adaptive Recovery Net (SARN), an extended Petri net model for specifying exceptional behavior in workflow systems at design time. SARN can adapt the structure of the underlying Petri net at run time to handle exceptions while keeping the Petri net design simple and easy. The proposed framework also caters for high-level recovery policies that are incorporated either with a single task or a set of tasks, called a recovery region.

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