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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Bibliographic Details
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
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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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Summary: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.
ISSN:1000-436X