Energy efficient genetic-based schedulers in computational grids
文献类型：期刊论文
| 作者 | Kolodziej, Joanna1; Khan, Samee Ullah1; Wang, Lizhe1; Zomaya, Albert Y.1 |
| 刊名 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
 |
| 出版日期 | 2015 |
| 卷号 | 27期号:4(SI)页码:894-903 |
| 关键词 | distributed environments grid computing scheduling multi-objective optimization energy awareness Makespan |
| 通讯作者 | Kolodziej, J (reprint author), Univ Bielsko Biala, Ul Willowa 2, PL-43309 Bielsko Biala, Poland. |
| 英文摘要 | In today's highly parametrized distributed computational environments, such as green grid clusters and clouds, the growing power and cooling rates are becoming the dominant part of the users' and system managers' budgets. Computational grids, owing to their sheer sizes, still require advanced methodologies and strategies for supporting the scheduling of the users' tasks and applications to the distributed resources. The efficient resource allocation becomes even more challenging when energy utilization, beyond the conventional scheduling criteria, such as Makespan, is treated as first-class additional scheduling objective. In this paper, we address the independent batch scheduling in computational grid as a bi-objective global minimization problem with Makespan and energy consumption as the main criteria. We apply the dynamic voltage and frequency scaling model for the management of the cumulative power energy utilized by the grid resources. We develop three genetic algorithms as energy-aware grid schedulers, which were empirically evaluated in three grid size scenarios in static and dynamic modes. The simulation results confirmed the effectiveness of the proposed genetic algorithm-based schedulers in the reduction of the energy consumed by the whole system and in dynamic load balancing of the resources in grid clusters, which is sufficient to maintain the desired quality level(s). Copyright (c) 2012 John Wiley & Sons, Ltd. |
| 研究领域[WOS] | Computer Science, Software Engineering ; Computer Science, Theory & Methods |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000350293900004 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38460]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Kolodziej, Joanna] Univ Bielsko Biala, Dept Math & Comp Sci, PL-43309 Bielsko Biala, Poland 2.[Khan, Samee Ullah] N Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58108 USA 3.[Wang, Lizhe] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China 4.[Zomaya, Albert Y.] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia |
| 推荐引用方式 GB/T 7714 | Kolodziej, Joanna,Khan, Samee Ullah,Wang, Lizhe,et al. Energy efficient genetic-based schedulers in computational grids[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2015,27(4(SI)):894-903. |
| APA | Kolodziej, Joanna,Khan, Samee Ullah,Wang, Lizhe,&Zomaya, Albert Y..(2015).Energy efficient genetic-based schedulers in computational grids.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,27(4(SI)),894-903. |
| MLA | Kolodziej, Joanna,et al."Energy efficient genetic-based schedulers in computational grids".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 27.4(SI)(2015):894-903. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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