计算机应用研究2017，Vol.34Issue(2)：591-594,4.DOI:10.3969/j.issn.1001-3695.2017.02.060
基于WFPSO算法的云虚拟机放置策略
Placement strategy of cloud virtual machine based on WFPSO algorithm
摘要
Abstract
With the large-scale application of cloud computing technology,the interaction of cloud applications more dependent on the network,a poor network topology would increase the network traffic of application,seriously affected the application of the operation efficiency and service quality.In order to solve this problem,this paper presented a virtual machine deployment strategy based on particle swarm optimization algorithm.This strategy used the improved particle swarm optimization algorithm to solve the objective function,and reduced the time delay to improve the operating efficiency.This paper gave the simulation experiment on CloudSim platform.And the results show that response time the strategy of is less than basic particle swarm optimization algorithm(PSO),and the modified PSO algorithm can improve the convergence speed of the particle swarm optimization,and improve the operating efficiency of the cloud environment.关键词
粒子群优化算法/虚拟机放置/时延Key words
particle swarm optimization algorithm/virtual machine placement/time delay分类
信息技术与安全科学引用本文复制引用
何利文,袁野,王延松,呼学理,牛小兵..基于WFPSO算法的云虚拟机放置策略[J].计算机应用研究,2017,34(2):591-594,4.基金项目
南京邮电大学引进人才科研启动基金资助项目(NY212012) （NY212012）
中兴通讯研究基金资助项目(2015 外 38) （2015 外 38）
