云计算平台虚拟机迁移能耗研究

陈俊; 申田静

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云计算平台虚拟机迁移能耗研究

更新时间：2026-09-04

- 云计算平台虚拟机迁移能耗研究
- Research on Cloud Computing Platform Virtual Machine Migration Energy Consumption
- 微电子学与计算机 2016年33卷第1期页码：72-75
- 作者机构：
  
  贵州师范大学机构教育科学学院,贵州,贵阳,550001
- 作者简介：
- 基金信息：
  
  国家自然科学基金 61309006贵州省科学技术基金项目黔科合协字师大LH字20147040号贵州师范大学资助博士科研项目基于MDT-FHMIPv6协议IPv4/IPv6虚拟机微移动迁移系统研究
- DOI：
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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陈俊, 申田静. 云计算平台虚拟机迁移能耗研究[J]. 微电子学与计算机, 2016, 33(1): 72-75.

CHEN Jun, SHEN Tian-jing. Research on Cloud Computing Platform Virtual Machine Migration Energy Consumption[J]. 2016, 33(1): 72-75.
陈俊, 申田静. 云计算平台虚拟机迁移能耗研究[J]. 微电子学与计算机, 2016, 33(1): 72-75. DOI：

CHEN Jun, SHEN Tian-jing. Research on Cloud Computing Platform Virtual Machine Migration Energy Consumption[J]. 2016, 33(1): 72-75. DOI：

摘要

对云计算平台进行IPv4/IPv6过渡前期、中期、后期虚拟机迁移能耗研究.对测试节点CPU频率、CPU使用率进行监测

并用监测数据研究了其数学关系

最终得出云计算平台能耗测试数学模型.文中进行了IPv4/IPv6同构云计算平台虚拟机迁移能耗实验

用两个云计算平台能耗测试数学模型进行计算取其均值作为最终计算迁移能耗值

为进一步进行能耗优化打下基础.

Abstract

This paper research virtual machine migration energy consumption on IPv4/IPv6 transition prior-period

mid-period

last-period for cloud computing platform. In this paper

it monitoring the test node CPU frequency

CPU usage

and using monitoring data to study the mathematical relation

finally drawing the cloud computing platform test energy consumption the mathematical model. The paper conducted a IPv4/IPv6 isomorphic cloud computing platform virtual machine migration energy consumption experiments

and using two cloud computing platform energy consumption test mathematical model to mean value calculate

and use it as the final calculation of the migration energy consumption. This study is to lay the foundation for further energy consumption optimization.

关键词

Keywords

references

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Dhiman G, Mihic K, Rosing T. A system for online power prediction in virtualized environments using gausian micture models[C]//Proceedings of the 47th Design Automation Conference(DAC). New York, USA, 2010: 807-812.

Ge Rong, Feng Xizhou, Song Shuaiwen, et al. Powerpack: energy profiling and analysis of high-performance systems and applications[J]//IEEE Transactions on Parallel and Distributed Systems, 2010, 21(5): 658-671.

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Kumar K, Lu Y H. Cloud computing for mobile users: Can offloading computation save energy[J]. IEEE Computer, 2010, 43(4): 51-56. DOI: 51

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