Abstract:
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 Dynamic Resource Scheduler(DRS) by 14%~19%, and the Requests per Second(RPS) is more by 17%.
Key words:
cloud computing,
virtual machine placement,
Particle Swarm Optimization(PSO) algorithm,
delay,
workflow
摘要: 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%。
关键词:
云计算,
虚拟机放置,
粒子群优化算法,
时延,
工作流
CLC Number:
FEI Yang, TUN Jie, WANG Xin. Virtual Machine Placement Strategy Based on Particle Swarm Optimization Algorithm[J]. Computer Engineering, 2012, 38(16): 291-292.
裴养, 吴杰, 王鑫. 基于粒子群优化算法的虚拟机放置策略[J]. 计算机工程, 2012, 38(16): 291-292.