Title: QSSA: A QoS-aware Service Selection Approach

Authors: Qibo Sun, Shangguang Wang, Hua Zou, Fangchun Yang

Addresses: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian 100876, Beijing, China. ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian 100876, Beijing, China. ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian 100876, Beijing, China. ' State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Haidian 100876, Beijing, China

Abstract: With the increasing number of web services, most existing studies suffer from a concentrated workload which causes response time delaying to user|s requests. This work proposes a QoS-aware Service Selection Approach (QSSA) with particle swarm optimisation and fuzzy logic control to support fast and dynamic service selection and assist users in selecting the most suitable services. The core of QSSA is decomposing global QoS constrains to local constraints and then selecting a local optimisation with local selection. Experimental results demonstrate that QSSA can obtain the most suitable composite service with low cost.

Keywords: web services; service selection; QoS; quality of service; particle swarm optimisation; PSO; fuzzy logic; fuzzy control.

DOI: 10.1504/IJWGS.2011.040446

International Journal of Web and Grid Services, 2011 Vol.7 No.2, pp.147 - 169

Received: 13 Sep 2010
Accepted: 10 Jan 2011
Published online: 17 Apr 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article