An efficient approach for supporting dynamic evolutionary change of adaptive workflow

Authors:
Daoye Zhang;Dahai Cao;Lijie Wen;Jianmin Wang
Affiliations:
School of Software, Tsinghua University, Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R.Ch ...;School of Software, Tsinghua University, Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R.Ch ...;School of Software, Tsinghua University, Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R.Ch ...;School of Software, Tsinghua University, Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, Beijing, P.R.Ch ...
Venue:
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Year:
2008

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Abstract

Transferring multiple active instances from an original workflow model to a new one remains a big challenge for dynamic evolutionary change. Few approaches have been proposed to propagate model change to running instances. Existing ones adopt so strict criteria that too many transferable circumstances are left unmigrated. This paper proposes an efficient approach to smoothly migrate running instances to modified model. The approach is based on Dynamic Change Region (DCR) and Reduced Trace Set (RTS), which are introduced to identify transferable instances according to a newly proposed correctness criterion. A migration algorithm is provided to perform marking adaptation after transfer, and several examples are given for illustration.