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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-12-01
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Series: | Tongxin xuebao |
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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 |