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Computer Engineering ›› 2012, Vol. 38 ›› Issue (11): 17-19. doi: 10.3969/j.issn.1000-3428.2012.11.006

Special Issue:

• Networks and Communications • Previous Articles     Next Articles

Optimized Virtual Machine Deployment Mechanism in Cloud Platform

WEN Shao-jun a, CHEN Jun-jie a, GUO Tao b   

  1. (a. College of Computer Science and Technology; b. Center of Information Management and Development, yuan University of Technology, Taiyuan 030024, China)
  • Received:2011-11-24 Online:2012-06-05 Published:2012-06-05

一种云平台中优化的虚拟机部署机制

温少君a,陈俊杰a,郭 涛b   

  1. (太原理工大学 a. 计算机科学与技术学院;b. 信息化管理与建设中心,太原 030024)
  • 作者简介:温少君(1986-),女,硕士研究生,主研方向:数据库技术,智能信息处理;陈俊杰,教授、博士;郭 涛,讲师、博士
  • 基金资助:
    山西省国际科技合作基金资助项目(2009081022);山西省科技基础条件平台建设基金资助项目(2010091103-0101);山西省研究生优秀创新基金资助项目(201003031)

Abstract: Hosts are usually selected only based on hosts’ current CPU conditions using traditional method. It brings load imbalance caused by the irrational use of resources. Aiming at this problem, this paper presents a virtual machine deployment mechanism in cloud platform. The model which can automatically select host is established. The automatic selection strategy is based on the individual needs, and it can predict follow-up load and resource consumption of virtual machines. Experimental results show that the mechanism can meet the users’ requirement and improve the system performance.

Key words: cloud computing, virtual machine deployment, host selection, load prediction, load balance

摘要: 传统虚拟机部署机制通常单一地依据宿主机当前的CPU状况来选择目标宿主机,从而引起负载不均衡。针对该问题,提出一种云平台中优化的虚拟机部署机制。建立宿主机自动选择模型,给出基于个性需求的宿主机自动选择策略,对宿主机后续负载状况进行预测,估算虚拟机的资源消耗。实验结果表明,该机制能在满足用户需求的基础上提高系统性能。

关键词: 云计算, 虚拟机部署, 宿主机选择, 负载预测, 负载均衡

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