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.
This work is supported by the National Basic Research 973 Program of China No.2007CB310806, Doctor Subject Fund of Education Ministry No.20070486064 and Wuhan ChenGuang Youth Sci.\&Tech. Project No. 200850731369.
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Zeng, C., Guo, X., Ou, W., Han, D. (2009). Cloud Computing Service Composition and Search Based on Semantic. In: Jaatun, M.G., Zhao, G., Rong, C. (eds) Cloud Computing. CloudCom 2009. Lecture Notes in Computer Science, vol 5931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10665-1_26
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DOI: https://doi.org/10.1007/978-3-642-10665-1_26
Publisher Name: Springer, Berlin, Heidelberg
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