基于OpenStack的资源负载预测方法研究

数据中心的能耗在云计算高速发展的同时不断增加,提高服务器资源利用率,进而提高数据中心的能效成为新的研究方向。基于OpenStack开源云计算平台,利用回归分析方法,预测云计算环境下服务器负载情况的变化,提出资源动态调度算法,将计算任务迁移到更合适的服务器,达到提高集群计算能效的目的。通过CPU计算能力的实验验证了该算法的有效性,实现了云计算环境下CPU计算能效的提高。...

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Bibliographic Details
Published in计算机应用研究 Vol. 31; no. 7; pp. 2178 - 2182
Main Author 李丹程 王晓晨 宋晓雪 马东琳 李全祚
Format Journal Article
LanguageChinese
Published 东北大学软件学院,沈阳,110819 2014
Subjects
OpenStack
云计算
回归分析
负载预测
回归分析
负载预测
regression analysis
OpenStack
load prediction
cloud computing
云计算
Online AccessGet full text
ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2014.07.063

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Summary:数据中心的能耗在云计算高速发展的同时不断增加,提高服务器资源利用率,进而提高数据中心的能效成为新的研究方向。基于OpenStack开源云计算平台,利用回归分析方法,预测云计算环境下服务器负载情况的变化,提出资源动态调度算法,将计算任务迁移到更合适的服务器,达到提高集群计算能效的目的。通过CPU计算能力的实验验证了该算法的有效性,实现了云计算环境下CPU计算能效的提高。
Bibliography:51-1196/TP
LI Dan-cheng, WANG Xiao-chen, SONG Xiao-xue, MA Dong-lin, LI Quan-zuo （ School of Software Engineering, Northeastern University, Shenyang 110819, China）
The energy consumption of data center is continuous increasing with the development of cloud computing. How to improve the resource utilization of the server,and boost the energy efficiency of data center,becomes a new research area. This paper proposed a dynamic resource scheduling algorithm based on OpenStack cloud computing platform,utilized the analysis of regression to predict the variation of server load,and migrated computational tasks to more appropriate servers to improve the efficiency of clustercomputing. Through the experiment of CPU computational capabilities proves the effectiveness of the method and achieves an improvement of CPU computational efficiency in the circumstance of cloud computing.
cloud computing;OpenStack;regression analysis;load prediction
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2014.07.063