Cloud resource allocation method based on time collaboration

Bo YIN; Yun-yong ZHANG; Zhi-jun WANG; Bing-yi FANG; Wei-bin FENG

doi:10.3969/j.issn.1000-436x.2014.z2.025

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Cloud resource allocation method based on time collaboration

Papers | 更新时间：2024-06-05

- Cloud resource allocation method based on time collaboration
- Journal on Communications Vol. 35, Issue Z2, Pages: 184-190(2014)
- 作者机构：
  
  中国联合网络通信有限公司研究院，北京 100032
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(71172134);“A New Generation of Broadband Wireless Mobile Communication Network” Major National Science and Technology Funded Projects(2012ZX03002001-002);“A New Generation of Broadband Wireless Mobile Communication Network” Major National Science and Technology Funded Projects(2013ZX03002004-002);“A New Generation of Broadband Wireless Mobile Communication Network” Major National Science and Technology Funded Projects(2013ZX03002003-005)
- DOI：10.3969/j.issn.1000-436x.2014.z2.025
  CLC： TP393
- Online First：2014-11，
  
  Published：30 November 2014
- 稿件说明：
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Bo YIN, Yun-yong ZHANG, Zhi-jun WANG, et al. Cloud resource allocation method based on time collaboration[J]. Journal on Communications, 2014, 35(Z2): 184-190.
DOI：

Bo YIN, Yun-yong ZHANG, Zhi-jun WANG, et al. Cloud resource allocation method based on time collaboration[J]. Journal on Communications, 2014, 35(Z2): 184-190. DOI： 10.3969/j.issn.1000-436x.2014.z2.025.

摘要

针对云计算环境中负载难以预测并且负载量实时变化的应用，设计了一种基于时间协同的资源分配方法，该方法在应用运行过程中，根据负载量以及任务处理时间，制定出多虚拟机协同的资源分配方案。该方法采用时间协同的方式有效实现了资源复用，提高了数据中心资源利用率，并进一步降低了数据中心的运维成本。

Abstract

According to the application in the cloud computing environment load and load change is difficult to predict the amount of real time.A resource allocation method based on cooperative time was designed

the application of this method in the process of operation

according to the load and the task processing time

formulate the resource allocation scheme for multi virtual machine cooperation.The method uses time collaborative to effectively reuse resource

improves the utilization rate of data center resources

and further reduces the cost of operation and maintenance of data center.It has realistic significance to the increase of cloud resource provider profit.

关键词

Keywords

references

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