Journal of Jilin University Science Edition

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Cloud Computing Service Deployment OptimizationBased on Improved Particle Swarm Algorithm

WANG Xiaotian1, HAN Xiao2   

  1. 1. Department of Computer Science and Technology, Dalian Neusoft University of Information, Dalian 116000, Liaoning Province, China; 2. Editorial Department of Journal of Jilin University, Changchun 130012, China
  • Received:2016-07-01 Online:2017-03-26 Published:2017-03-24
  • Contact: HAN Xiao E-mail:hanxiao@jlu.edu.cn

Abstract: Aiming at the problem that cloud computing resources we re limited, and the solving efficiency of exhaustive search algorithm was low, w e proposed a cloud computing service deployment optimization method ba sed on improved particle swarm algorithm. Firstly, the problem of clou d computing service deployment was analyzed, and it was transformed into a mult iobjective combinatorial optimization problem, and the corresponding mathemati cal model was established. Secondly, the particle swarm algorithm with global se arching ability was used to solve mathemati cal model, and the slow convergence rate of standard particle swarm algorithm an d premature convergence were improved. Finally, the feasibility was verified by simulation test. Experimental results show that the proposed method can quic kly find the best scheme for cloud computing service deployment.

Key words: optimization algorithm, service deployment, particle swarm algorithm, cloud computing system

CLC Number: 

  • TP393