DocumentCode
2444710
Title
Advanced Migration Strategies for Adaptive Process Management Systems
Author
Rinderle-Ma, Stefanie ; Reichert, Manfred
Author_Institution
Fac. of Comput. Sci., Univ. of Vienna, Vienna, Austria
fYear
2010
fDate
10-12 Nov. 2010
Firstpage
56
Lastpage
63
Abstract
Enabling dynamic process changes is an essential requirement for any adaptive process management technology. Particularly, it should be possible to migrate (long-)running process instances to a new process schema version. Further, instance migration must not violate soundness; i.e., structural and behavorial consistency of executed process schemas need to be preserved. State compliance has been introduced as basic correctness notion to ensure that instances, whose state has progressed too far, are prohibited from being migrated. However, this also excludes them from future process optimizations, which is often not tolerable in practice. This paper introduces advanced migration strategies for coping with non-compliant instances in the context of process change such that they can benefit from future process type changes on the one hand, but do not run into soundness problems on the other hand. Contrary to existing approaches, the strategies proposed in this paper are based on adjustments at process type and instance level. Altogether, the suggested migration strategies complement treatment of non-compliant process instances.
Keywords
business process re-engineering; adaptive process management systems; advanced migration strategies; dynamic process changes; instance migration; state compliance; Adaptive systems; Business; Connectors; Context; Measurement; Optimization; Silicon; Adaptive Process Management Systems; Migration Strategies for Process Instances; Relaxed Compliance;
fLanguage
English
Publisher
ieee
Conference_Titel
Commerce and Enterprise Computing (CEC), 2010 IEEE 12th Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8433-1
Electronic_ISBN
978-0-7695-4228-7
Type
conf
DOI
10.1109/CEC.2010.18
Filename
5708393
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