CSP-based resource allocation model and algorithms for energy-efficient cloud computing

The resource allocation for energy-efficient cloud computing in a heterogeneous environment was modeled as a constraint satisfaction problem (CSP).By solving the constraint satisfaction problem,the optimized allocation scheme minimizing energy consumption in virtualized cloud data centers was obtain...

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Main Authors: Wei-wei LIN, Bo LIU, Liang-chang ZHU, De-yu QI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436X.2013.12.004/
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author Wei-wei LIN
Bo LIU
Liang-chang ZHU
De-yu QI
author_facet Wei-wei LIN
Bo LIU
Liang-chang ZHU
De-yu QI
author_sort Wei-wei LIN
collection DOAJ
description The resource allocation for energy-efficient cloud computing in a heterogeneous environment was modeled as a constraint satisfaction problem (CSP).By solving the constraint satisfaction problem,the optimized allocation scheme minimizing energy consumption in virtualized cloud data centers was obtained.Based on the optimized allocation scheme,an energy-efficient resource allocation algorithm,dynamicpower (DY),which takes into account the heterogene-ity of resources,was proposed.The performance of algorithm was evaluated using Choco.Experimental results show that,compared with first-fit decreasing (FFD),best-fit decreasing (BFD) and minimizing the number of physical machines (MinPM),the proposed algorithm (DY) has less energy consumption.
format Article
id doaj-art-9a8c26f7c1bb42f7a3c731d03e939e4f
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-9a8c26f7c1bb42f7a3c731d03e939e4f2025-01-14T06:41:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-12-0134334159676160CSP-based resource allocation model and algorithms for energy-efficient cloud computingWei-wei LINBo LIULiang-chang ZHUDe-yu QIThe resource allocation for energy-efficient cloud computing in a heterogeneous environment was modeled as a constraint satisfaction problem (CSP).By solving the constraint satisfaction problem,the optimized allocation scheme minimizing energy consumption in virtualized cloud data centers was obtained.Based on the optimized allocation scheme,an energy-efficient resource allocation algorithm,dynamicpower (DY),which takes into account the heterogene-ity of resources,was proposed.The performance of algorithm was evaluated using Choco.Experimental results show that,compared with first-fit decreasing (FFD),best-fit decreasing (BFD) and minimizing the number of physical machines (MinPM),the proposed algorithm (DY) has less energy consumption.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436X.2013.12.004/cloud computingresource allocationenergy efficiencyconstraint satisfaction problem
spellingShingle Wei-wei LIN
Bo LIU
Liang-chang ZHU
De-yu QI
CSP-based resource allocation model and algorithms for energy-efficient cloud computing
Tongxin xuebao
cloud computing
resource allocation
energy efficiency
constraint satisfaction problem
title CSP-based resource allocation model and algorithms for energy-efficient cloud computing
title_full CSP-based resource allocation model and algorithms for energy-efficient cloud computing
title_fullStr CSP-based resource allocation model and algorithms for energy-efficient cloud computing
title_full_unstemmed CSP-based resource allocation model and algorithms for energy-efficient cloud computing
title_short CSP-based resource allocation model and algorithms for energy-efficient cloud computing
title_sort csp based resource allocation model and algorithms for energy efficient cloud computing
topic cloud computing
resource allocation
energy efficiency
constraint satisfaction problem
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436X.2013.12.004/
work_keys_str_mv AT weiweilin cspbasedresourceallocationmodelandalgorithmsforenergyefficientcloudcomputing
AT boliu cspbasedresourceallocationmodelandalgorithmsforenergyefficientcloudcomputing
AT liangchangzhu cspbasedresourceallocationmodelandalgorithmsforenergyefficientcloudcomputing
AT deyuqi cspbasedresourceallocationmodelandalgorithmsforenergyefficientcloudcomputing