基于改进虚拟机整合算法的虚拟资源管理工具被引量：2

Virtualization Resource Management Tool Based on Improved Virtual Machine Consolidation Algorithm

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摘要提出了一种基于分段迭代相关性整合（SICC）的虚拟机整合与放置策略，并将它作为云资源管理工具的核心结构。SICC算法整合了时间序列分析、线性相关性分析和传统的FFD算法，并基于虚拟机的最小资源利用率建立了一套新的虚拟机动态资源整合理论。数值仿真结果表明，在虚拟机整合过程中，新的基于SICC的架构在使用不同的初始动态条件时，以虚拟机为粒度的物理资源利用率性能提升3％～20％；在以服务器为粒度的物理资源利用率性能提升超过5％。 In the paper, we propose a virtual machine （VM） consolidation and placement strategy, named segmentation iteration correlation combination （SICC）. The SICC algorithm integrates several algorithms, such as time series analysis, linear correlation analysis and traditional first fit decreasing （FFD）. A new dynamic resource consolidation theory is then established based on the virtual machine minimum resource utilization parameter. The simulation results indicate that the novel SICC framework can improve the physical resource utilization by 3% to 20% in the VM granularity and by up 5% in the server granularity.

作者赵长名刘健李云继

机构地区电子科技大学通信与信息工程学院北京科技大学通信与信息工程学院贵州理工学院电气工程学院

出处《电子科技大学学报》 EI CAS CSCD 北大核心 2016年第3期355-360,480,共7页 Journal of University of Electronic Science and Technology of China

基金国家自然科学基金(61173149)

关键词动态资源整合 FFD算法线性相关性分析虚拟机 dynamic resource consolidation FFD algorithm linear correlation analysis virtual machine

分类号 TN915.01 [电子电信—通信与信息系统]

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