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Quick service selection approach based on particle swarm optimization

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3 Author(s)
Qibo Sun ; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China ; Shangguang Wang ; Fangchun Yang

With the increasing number of Web services, most existing approaches suffer from a concentrated workload which causes response time delays to user's requests. This work proposes a quick service selection approach (QSSA). QSSA adopts particle swarm optimization and fuzzy logic control to support fast and dynamic service selection, assisting users in obtaining most suitable services. Experimental results demonstrate that QSSA can obtain the most suitable composite service with low cost.

Published in:

Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on

Date of Conference:

23-26 Sept. 2010