An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers

碩士 === 輔仁大學 === 資訊工程學系碩士班 === 102 === This thesis investigates the data-aware virtual machine (VM) migration in a cloud data center. We utilize the network topology structure of the cloud data center to design a median-based VM migration scheme. By moving the VM to reduce the average data access tim...

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Main Authors: Min-Hsuan Tsai, 蔡旻軒
Other Authors: Jenn-Wei Lin
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/21348021272219210178
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spelling ndltd-TW-102FJU003960372016-05-22T04:34:08Z http://ndltd.ncl.edu.tw/handle/21348021272219210178 An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers 基於雲端資料中心架構提出一有效率資料感知之虛擬機遷移方法 Min-Hsuan Tsai 蔡旻軒 碩士 輔仁大學 資訊工程學系碩士班 102 This thesis investigates the data-aware virtual machine (VM) migration in a cloud data center. We utilize the network topology structure of the cloud data center to design a median-based VM migration scheme. By moving the VM to reduce the average data access time of an application, the SLA requirement of the application can be satisfied. It is very possible that multiple VM may be migrated concurrently. This will introduce the physical machine contention problem to result in some VMs not to be migrated. We applies the bipartite graph modelling to migrate VMs as many as possible and minimize the total migration cost. Finally, we perform simulation experiments to demonstrate the effectiveness of the proposed scheme. Jenn-Wei Lin 林振緯 2014 學位論文 ; thesis 49 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 輔仁大學 === 資訊工程學系碩士班 === 102 === This thesis investigates the data-aware virtual machine (VM) migration in a cloud data center. We utilize the network topology structure of the cloud data center to design a median-based VM migration scheme. By moving the VM to reduce the average data access time of an application, the SLA requirement of the application can be satisfied. It is very possible that multiple VM may be migrated concurrently. This will introduce the physical machine contention problem to result in some VMs not to be migrated. We applies the bipartite graph modelling to migrate VMs as many as possible and minimize the total migration cost. Finally, we perform simulation experiments to demonstrate the effectiveness of the proposed scheme.
author2 Jenn-Wei Lin
author_facet Jenn-Wei Lin
Min-Hsuan Tsai
蔡旻軒
author Min-Hsuan Tsai
蔡旻軒
spellingShingle Min-Hsuan Tsai
蔡旻軒
An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers
author_sort Min-Hsuan Tsai
title An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers
title_short An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers
title_full An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers
title_fullStr An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers
title_full_unstemmed An Efficient Data-Aware Approach for Virtual Machine Migration in Cloud Data Centers
title_sort efficient data-aware approach for virtual machine migration in cloud data centers
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/21348021272219210178
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