Title :
A Semantics Web Service Composition Approach Based on Cloud Computing
Author :
Zhou Xiangbing ; Mao Fang
Author_Institution :
Dept. of Comput. Sci., Aba Teachers Coll., Chengdu, China
Abstract :
In recent years, cloud computing becomes a new distributed computing approach, which improves efficiency of Internet computing. Therefore, a semantics Web service composition approach based on cloud computing is proposed. Service composition is analyzed by Bayesian decision in the cloud computing, which is built by a Bayesian decision of oriented-cloud semantics Web service, and a graph of semantics Web service discovery is defined to describe the method. Then according to the above, a service composition approach is established. Finally, A group of login service based on Amazon is employed to analyze the approach indicated that is feasible and effective.
Keywords :
Bayes methods; Web services; cloud computing; decision theory; graph theory; semantic Web; Amazon; Bayesian decision; Internet computing; cloud computing; distributed computing approach; login service; oriented-cloud semantics Web service; semantics Web service composition approach; semantics Web service discovery graph; Bayesian methods; Cloud computing; Educational institutions; Semantic Web; Semantics; Bayesian decision; Clouding computing; Semantics Web service; Service Composition;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.43