Web services selection research based on CloudSim
基于云仿真的Web服务选择研究

Aiming at the problem that the massive increase of the current Web services and the inefficiency and slowness of the existing Web services selection algorithm, this paper proposed a Web service selection based on particle swarm optimization algorithm under cloud computing. The method mapped the particle in cluster on the cloud platform, and parallel simplified the similar cluster, and updated the cluster timely, and looked for the strategy which was most similar to user needs and of best quality in service. The experiments show that this method can effectively reduce the time overhead of Web service selection process execution, and improve the reliability of the Web services selection.