计算机工程与应用Issue(19)：70-73,4.DOI:10.3778/j.issn.1002-8331.1211-0078
基于帕累托最优的云资源调度研究
Research of cloud resource allocation based on Pareto opti-mality
摘要
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 algo-rithm has better performance than before, and the configuration of resources has been achieved the optimal.关键词
云计算/帕累托最优/服务资源/粒子群优化算法Key words
cloud computing/Pareto optimality/service resource/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
边根庆,张文敬,邵必林,龚培娇..基于帕累托最优的云资源调度研究[J].计算机工程与应用,2014,(19):70-73,4.基金项目
国家自然科学基金（No.61073196）；陕西省自然科学基础研究计划项目（No.2011JM8026）；陕西省教育厅自然科学专项基金项目（No.11JK0982）。 （）
