Research on Web Service Dynamic Selection with Multi-constraint

Abstract

With the massive growth of Web services in cloud computing environment, users require as much short time as possible to get high-quality composite service that meets multiple constraints. Therefore, this paper proposes a multi-constraint service selection method based on decomposition of global QoS. The method uses cultural genetic algorithm to decompose the global QoS constraints, and then combines with the dependency relationship and compatible relationship among candidate services to filter out the unsatisfied services. Finally the most appropriate composite service is obtained by local selection. Experimental results prove the effectiveness of this method.