Efficient QoS management for QoS-aware web service composition

Authors:
Shangguang Wang;Xilu Zhu;Fangchun Yang
Affiliations:
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China;The Research Institution of China Mobile, China Mobile Limited, Changsha, Hunan, 425200, China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian, Beijing, 100876, China
Venue:
International Journal of Web and Grid Services
Year:
2014

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Abstract

In this paper, we propose an efficient QoS management approach for QoS-aware web service composition. In the approach, we classify web services according to theirs similarity and then design a QoS tree to manage the QoS the classified web services. Besides, by querying the managed QoS, we propose a QoS-aware web service composition via a particle swarm optimisation algorithm to perform fast web service composition. Experimental results based on two kinds of dataset show our proposed approach outperforms other schemes in terms of query cost, computation time and optimality.