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一种业务流程执行语言中流程模板的生成方法

DOI: 10.13190/jbupt.201106.42.382, PP. 42-46

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Abstract:

在Web服务组合中,将复用从Web服务这个粒度扩展到BPEL(BusinessProcessExecutionLanguage)流程级别这个更大的粒度,从流程中抽取出流程模板,开发人员可以直接在流程模板的基础上构建新的业务流程,从而大大地提高流程开发的效率和准确度。为实现这个目标,提出了方法将流程模板的抽取问题转换为树的频繁模式查找问题。首先将BPEL流程建模为有根无序树,然后基于TMG(TreeModelGuided)思想对树进行频繁导出子树的挖掘,最后将频繁子树映射为BPEL流程模板。用Java语言实现了针对BPEL流程的模板生成器ROY-BPELTool,在其之上运行了一个真实的多媒体会议系统的BPEL流程,验证了方法的可行性和有效性。

References

[1]  Oasis. Business process execution language(bpel) v2.0. Burlington: Oasis, 2007.
[2]  Cheng Bo, Lin Xiangtao, Hu Xiaoxiao, et al. Formal analysis for multimedia conferencing communication services orchestration//Proceedings of 2009 ICWS. NJ: IEEE, 2009: 1010-1011.
[3]  Chi Yun, Yang Yirong, Richard R Muntz. HybridTreeMiner: an efficient algorithm for mining frequent rooted trees and free trees using canonical forms//Proceedings of the 16th SSDBM. Washington: IEEE Computer Society, 2004: 11-20.
[4]  Zaki M J. Efficiently mining frequent trees in a forest//Proceedings of SIGKDD’02. New York: ACM, 2002: 71-80.
[5]  Tatsuya A. Efficient substructure discovery from large semi-structured data[J]. IEICE Transactions on Information and Systems, 2004, E87-D(12): 2754-2763.
[6]  Fedja H, Henry T, Dillon T S. UNI3-efficient algorithm for mining unordered induced subtrees using TMG candidate generation//Proceedings of CIDM 2007. NJ: IEEE Computer Society, 2007: 568-575.
[7]  Tan H, Hadzic F, Dillon T S, et al. Tree model guided candidate generation for mining frequent subtrees from XML documents[J]. ACM Transactions on Knowledge Discovery, 2008, 2(2): 1-43.
[8]  Deng Na, Chen Junliang, Cheng Bo, et al. A recommendation method of BPEL activity based on association rules mining//Proceedings of CiSE 2010. NJ: IEEE Computer Society, 2010: 1-4.

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