Cloud Computing Service Composition and Search Based on Semantic

Authors:
Cheng Zeng;Xiao Guo;Weijie Ou;Dong Han
Affiliations:
State Key Lab of Software Engineering, Wuhan University, China 430072;State Key Lab of Software Engineering, Wuhan University, China 430072;State Key Lab of Software Engineering, Wuhan University, China 430072;State Key Lab of Software Engineering, Wuhan University, China 430072
Venue:
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Year:
2009

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Abstract

In this paper, we put forward a matching algorithm SMA between cloud computing services of multiple input/output parameters, which considers the semantic similarity of concepts in parameters based on WordNet. Moreover, a highly efficacious service composition algorithm Fast-EP and the improved FastB+-EP are presented. Then QoS information is utilized to rank the search results. At last, we show through experiment that our approach has better efficiency of service composition than traditional approaches.