基于粒子群优化算法的虚拟机放置策略OACSCDCSTPCD
Virtual Machine Placement Strategy Based on Particle Swarm Optimization Algorithm
当前云计算虚拟化平台无法适用于对时延要求较高的应用.为此,提出一种基于粒子群优化算法的虚拟机放置策略.介绍粒子群优化算法,建立云环境内部时延模型,设计虚拟机放置策略架构.实验结果表明,该策略的请求响应时间比动态资源调度(DRS)策略降低14％～ 19％,每秒处理请求数比DRS方案提高约17％.
Currently, the virtual machine placement strategy of cloud computing perform is not well in the low delay require. In order to solve this problem, this paper proposes a new virtual machine placement strategy based on Particle Swarm Optimization(PSO) algorithm. It introduces the PSO algorithm, designs a delay model in cloud environment, and combines them to get virtual machine placed scheme. Experimental results show that the response time is less than …查看全部>>
裴养;吴杰;王鑫
复旦大学计算机科学技术学院,上海200433复旦大学计算机科学技术学院,上海200433复旦大学计算机科学技术学院,上海200433
信息技术与安全科学
云计算虚拟机放置粒子群优化算法时延工作流
cloud computing virtual machine placement Particle Swarm Optimization(PSO) algorithm delay workflow
《计算机工程》 2012 (16)
291-293,3