云计算虚拟机部署方案的研究

张笑燕; 王敏讷; 杜晓峰

doi:10.11959/j.issn.1000-436x.2015084

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云计算虚拟机部署方案的研究

学术通信 | 更新时间：2024-06-05

- 云计算虚拟机部署方案的研究
- Research on the method of virtual machine deployment in cloud computing
- 通信学报 2015年36卷第3期页码：275-285
- 作者机构：
  
  1. 北京邮电大学软件学院，北京 100876
  2. 北京邮电大学计算机学院，北京 100876
- 作者简介：
  
  [ "张笑燕（1973-），女，山东烟台人，博士，北京邮电大学教授，主要研究方向为移动互联网软件与软件工程理论。" ]
  [ "王敏讷（1989-），女，安徽芜湖人，北京邮电大学硕士生，主要研究方向为云计算与移动互联网软件。" ]
  [ "杜晓峰（1973-），男，陕西韩城人，北京邮电大学讲师，主要研究方向为云计算与大数据分析。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61202081)
- DOI：10.11959/j.issn.1000-436x.2015084
  中图分类号： TP301
- 网络出版日期：2015-03，
  
  纸质出版日期：2015-03-25
- 稿件说明：
移动端阅览
张笑燕, 王敏讷, 杜晓峰. 云计算虚拟机部署方案的研究[J]. 通信学报, 2015,36(3):275-285.

Xiao-yan ZHANG, Min-ne WANG, Xiao-feng DU. Research on the method of virtual machine deployment in cloud computing[J]. Journal of communications, 2015, 36(3): 275-285.
张笑燕, 王敏讷, 杜晓峰. 云计算虚拟机部署方案的研究[J]. 通信学报, 2015,36(3):275-285. DOI： 10.11959/j.issn.1000-436x.2015084.

Xiao-yan ZHANG, Min-ne WANG, Xiao-feng DU. Research on the method of virtual machine deployment in cloud computing[J]. Journal of communications, 2015, 36(3): 275-285. DOI： 10.11959/j.issn.1000-436x.2015084.

摘要

提出了一种虚拟机部署方案，该方案的目的是减少主机上的资源碎片。对不同规格的虚拟机在下一时间段内的增量进行了预测，根据预测结果对资源池中主机上的可用中央处理器（CPU）和内存（memory）进行动态规划。该方案考虑了用户的行为习惯，预先确定了资源的分配规则，当用户申请虚拟机时，直接将虚拟机部署到指定的主机上。最后在CloudStack平台上对该方案进行了实验验证，实验结果表明该方案能够有效地减少资源碎片。

Abstract

A method of virtual machine deployment was proposed. The main purpose of the method was to reduce the resource fragments on the host. The method predicted the increment of the virtual machines of different specifications in the next period of time

and dynamically programmed the available CPU and memory of the host in the resources pool by the prediction. The method took into account the users' behaviors

pre-determined the resources allocation rules

when users applied a virtual machine

the virtual machine would be assigned to the specific host directly. In the end

the method was implemented on the CloudStack platform.The experiment demonstrates that the method can reduce the resource fragments effectively.

关键词

Keywords

references

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