QoE/QoS driven simulated annealing-based genetic algorithm for Web services selection

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Abstract

In order to improve the efficiency and effect of Web service selection, an algorithm named quality of experience (QoE)/quality of service (QoS) driven simulated annealing-based genetic algorithm (QQDSGA) is given to achieve Web services selection efficiently with excellent QoE. QQDSGA includes two parts: QoE/QoS driven composite Web services evaluation model and simulated annealing-based (SA-based) genetic algorithm for Web services selection. Simulations show that when used in Web service selection, QQDSGA is better than genetic algorithm (GA) and SA in efficiency and is more satisfied in effect than no customer feedback.

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