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基于改进粒子群算法的云计算虚拟机资源配置优化研究 被引量:10

Research on cloud computing virtual machine resource allocation optimization based on improved particle swarm optimization
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摘要 如何将虚拟机合理地放置到云服务器上是云计算数据中心提高系统性能的关键技术之一。首先建立了虚拟机配置模型,综合考虑负载均衡,虚拟机分配性能等因素形成了虚拟机配置优化模型。在此基础上提出基于改进粒子群的虚拟机优化配置算法(LB-DPSO),利用此优化算法,实现了目标问题的优化。对比实验结果表明,算法能有效降低负载不均衡度,同时能较好地提高虚拟机分配性能,具有一定的理论和现实意义。
出处 《计算机应用研究》 CSCD 北大核心 2020年第S02期116-118,共3页 Application Research of Computers
基金 山西省自然科学基金资助项目(2016011044)
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  • 1周威,金以慧.利用模糊次梯度算法求解拉格朗日松弛对偶问题[J].控制与决策,2004,19(11):1213-1217. 被引量:14
  • 2Eberhart R, Kennedy J. A new optimizer using particle swarm theory. Proceedings of the 6^th International Symposium on Micro Machine and Human Science. Nagoya, Japan, 1995,39-43.
  • 3Kennedy J, Eberhart R. Particle swarm optimization. IEEE International Conference on Neural Networks. Piscataway, New Jersy: IEEE Service Center, 1995, 1942-1948.
  • 4Shi Y, Eberhart R. A modified particle swarm optimizer. IEEE International Conference on Evolutionary Computation. New Jersy: IEEE Press, 1998, 69-73.
  • 5Aler B, Vincent J, Anyakoha C. A review of particle swarm optimization. Natural Computing, 2008, 7(3):109-124.
  • 6LiuJ H, FanXP, QuZH. An improvedparticle swarm optimization with mutation based on similarity. The 3^rd International Conference on Natural Computation. Haikou, China, 2007,9 : 824-828.
  • 7Kennedy J, Eberhart R. A discrete binary version of the particle swarm algorithm. Proceeding of the World Multieonference on Systemics, Cybernetics and Informaties. New Jersy: Piseataway, 1997, 4104-4109.
  • 8Salman A, Ahmad I, Al- madani S. Particle swarm optimization for task assignment problem. Microprocessors and Microsystems, 2002, 26(8) :363-371.
  • 9Lian Z, Gu X, Jiao B. A novel particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan. Chaos Solitons and Fractals, 2008, 35(5): 851-861.
  • 10Liao C J, Tseng C T, Luarn P. A discrete version of particle swarm optimization for flowshop scheduling problem. Computers and Operations Research, 2007, 34(10): 3099--3111.

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