Authors: Shangguang Wang; Xilu Zhu; Fangchun Yang
Addresses: 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
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.
Keywords: web services; quality of service; QoS management; service composition; particle swarm optimisation; PSO.
International Journal of Web and Grid Services, 2014 Vol.10 No.1, pp.1 - 23
Received: 05 May 2013
Accepted: 19 Jun 2013
Published online: 18 Jan 2014 *