Dynamic restructuring of recovery nets

Authors:
Rachid Hamadi;Boualem Benatallah
Affiliations:
The University of New South Wales, Sydney, Australia;The University of New South Wales, Sydney, Australia
Venue:
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
Year:
2005

Citing 15
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Abstract

A Self-Adaptive Recovery Net (SARN) is an extended Petri net model for specifying exceptional behavior in workflow systems. SARN caters for high-level recovery policies that are incorporated either with a single task or a set of tasks, called a recovery region. A recovery region delimits the part of the workflow from which the associated recovery policies take place. In this paper, we assume that SARN is initially partitioned into recovery regions by workflow designers who have a priori expectations for how exceptions will be handled. We propose a pattern-based approach to dynamically restructure SARN partition. The objective is to continuously restructure recovery regions within SARN partition to reflect the dynamic changes in handling exceptions. The restructuring of SARN partition is based on the observation of predefined recovery patterns.