Abstract
Aiming to problem of how to optimize the cloud computing location, an improved PSO algorithm is designed to handle this problem, using the improved PSO algorithm servers location and communication cost can be optimized under cloud computing situation. Though theoretical derivation, the correctness of improved PSO algorithm is proofed. The correctness of theoretical derivation is also verified by the experiment. Keyword: cloud computing, particle swarm optimization, communication cost I Introduction With the development of the cloud computing, and more and more application is upload to the cloud side, however the how to locate the cloud computing server node remain a question to debate. In the paper, an improved PSO algorithm is presented to handle this problem. Though the theoretical deviation, the correctness of the algorithm is proofed. The correctness of the theoretical deviation is verified by the experiment. The paper is organized as follow: In second section of paper, the related work will introduced. In the third section of paper improved PSO algorithm will be presented. The experiment and its result will appear in forth section. The fifth section is the result. II related work 2.1 cloud computing
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