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Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail

Latest trend in green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to ca...

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Main Author: Ismail, Mohd Badrulhisham
Format: Article
Language:English
Published: 2014
Online Access:https://ir.uitm.edu.my/id/eprint/40480/1/40480.pdf
https://ir.uitm.edu.my/id/eprint/40480/
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spelling my.uitm.ir.404802023-08-17T02:30:55Z https://ir.uitm.edu.my/id/eprint/40480/ Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail Ismail, Mohd Badrulhisham Latest trend in green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate the fly on the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm is called Dynamics Threshold Optimize System. Three sigma theories are applied in order to get the desire range for the threshold limit. This study applies Optimize Warm Threshold Limit as a secondary diffriihm to optimize the Lower Threshold Limit. This technique is used to determine the mod value from a range of mean value and existing Lower Threshold Limit. If the mod value is higher than the existing Lower Threshold Limit then it will replace the existing Lower Threshold Limit. 2014-06 Article NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/40480/1/40480.pdf Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail. (2014) pp. 1-8.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Latest trend in green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate the fly on the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm is called Dynamics Threshold Optimize System. Three sigma theories are applied in order to get the desire range for the threshold limit. This study applies Optimize Warm Threshold Limit as a secondary diffriihm to optimize the Lower Threshold Limit. This technique is used to determine the mod value from a range of mean value and existing Lower Threshold Limit. If the mod value is higher than the existing Lower Threshold Limit then it will replace the existing Lower Threshold Limit.
format Article
author Ismail, Mohd Badrulhisham
spellingShingle Ismail, Mohd Badrulhisham
Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail
author_facet Ismail, Mohd Badrulhisham
author_sort Ismail, Mohd Badrulhisham
title Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail
title_short Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail
title_full Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail
title_fullStr Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail
title_full_unstemmed Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail
title_sort dynamics resource allocation via virtual machine for cloud computing / mohd badrulhisham ismail
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/40480/1/40480.pdf
https://ir.uitm.edu.my/id/eprint/40480/
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score 13.211869

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