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Fast Selection of Composite Web Services Based on Workflow Partition  

Jang, Jae-Ho (연세대학교 컴퓨터과학)
Shin, Dong-Hoon (연세대학교 컴퓨터과학)
Lee, Kyong-Ho (연세대학교 컴퓨터과학)
Publication Information
Journal of KIISE:Software and Applications / v.34, no.5, 2007 , pp. 431-446 More about this Journal
Abstract
Executable composite Web services are selected by binding a given abstract workflow with the specific Web services that satisfy given QoS requirements. Considering the rapidly increasing number of Web services and their highly dynamic QoS environment, the fast selection of composite services is important. This paper presents a method for quality driven comosite Web services selection based on a workflow partition strategy. The proposed method partitions an abstract workflow into two sub-workflows to decrease the number of candidate services that should be considered. The QoS requirement is also decomposed for each partitioned workflow. Since the decomposition of a QoS requirement is based on heuristics, the selection might fail to find composite Web services. To avoid such a failure, the tightness of a QoS requirement is defined and a workflow is determined to be partitioned according to the tightness. A mixed integer linear programming is utilized for the efficient service selection. Experimental results show that the success rate of partitioning is above 99%. Particularly, the proposed method performs faster and selects composite services whose qualities are not significantly different (less than 5%) from the optimal one.
Keywords
Web services selection; QoS; workflow partition; mixed integer linear programming;
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