关键词: 云计算, 帕累托最优, 服务资源, 粒子群优化算法

Abstract: In the cloud environment, service resources are hard to realize the optimal dynamic allocation in each user. The paper combines Pareto optimality theory and particle swarm optimization algorithm with each other which have applied in the cloud computing model about the above problem, to optimization configuration for the utility of various service resources, and finally make the utilization rate of resources achieve an optimal state, and make a simulation experiment of cloud service resources scheduling through CloudSim. The results show that the cloud computing model adopted Pareto optimality algorithm has better performance than before, and the configuration of resources has been achieved the optimal.

Key words: cloud computing, Pareto optimality, service resource, particle swarm optimization algorithm