标题:Process-mining-based workflow model fragmentation for distributed execution
作者:Sun, Sherry X. ;Zeng, Qingtian ;Wang, Huaiqing
作者机构:[Sun, Sherry X. ;Wang, Huaiqing ] Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong;[Zeng, Qingtian ] College of Inf 更多
来源:IEEE Transactions on Systems, Man, and Cybernetics: Systems
出版年:2011
卷:41
期:2
页码:294-310
DOI:10.1109/TSMCA.2010.2069092
摘要:A complex workflow is often executed by geographically dispersed partners or different organizations. As a solution for dealing with the decentralized nature of workflow applications, a workflow can be fragmented into small pieces and scheduled to different servers for its execution. An important challenge in distributed workflows is to optimize the fragmentation and distribution to achieve efficiency with respect to time and server resources. To tackle this challenge, we propose the application of process mining to the fragmentation of a workflow for distributed execution. The workflow model discovered through process mining records the actual execution of a workflow and allows in-depth analysis of its temporal behavior. Based on examination of the model resulting from process mining, we demonstrate how to determine the minimum time to finish a workflow and how to partition the workflow in order to achieve efficient server usage.
© 2010 IEEE.
收录类别:EI
资源类型:期刊论文
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