Energy-aware scheduling policy for data-intensive workflow
With the increasing scale of data centers,high energy consumption has become a critical issue in high-performance computing area.To address the issue of energy consumption optimization for data-intensive workflow applications,a set of virtual data-accessing nodes are introduced into the original wor...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-01-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015017/ |
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| _version_ | 1841539667634159616 |
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| author | Peng XIAO Zhi-gang HU Xi-long QU |
| author_facet | Peng XIAO Zhi-gang HU Xi-long QU |
| author_sort | Peng XIAO |
| collection | DOAJ |
| description | With the increasing scale of data centers,high energy consumption has become a critical issue in high-performance computing area.To address the issue of energy consumption optimization for data-intensive workflow applications,a set of virtual data-accessing nodes are introduced into the original workflow for quantitatively evaluating the data-accessing energy consumption,by which a novel heuristic policy called minimal energy consumption path is designed.Based on the proposed heuristic policy,two energy-aware scheduling algorithms are implemented,which are deprived from the classical HEFT and CPOP scheduling algorithms.Extensive experiments are conducted to investigate the performance of the proposed algorithms,and the results show that they can significantly reduce the data-accessing energy consumption.Also,the proposed algorithms show better adaptive when the system is in presence of large-scale workflows. |
| format | Article |
| id | doaj-art-8b5d5eca023a45db8765d97bd58ac754 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-8b5d5eca023a45db8765d97bd58ac7542025-01-14T06:45:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-01-013614915859690172Energy-aware scheduling policy for data-intensive workflowPeng XIAOZhi-gang HUXi-long QUWith the increasing scale of data centers,high energy consumption has become a critical issue in high-performance computing area.To address the issue of energy consumption optimization for data-intensive workflow applications,a set of virtual data-accessing nodes are introduced into the original workflow for quantitatively evaluating the data-accessing energy consumption,by which a novel heuristic policy called minimal energy consumption path is designed.Based on the proposed heuristic policy,two energy-aware scheduling algorithms are implemented,which are deprived from the classical HEFT and CPOP scheduling algorithms.Extensive experiments are conducted to investigate the performance of the proposed algorithms,and the results show that they can significantly reduce the data-accessing energy consumption.Also,the proposed algorithms show better adaptive when the system is in presence of large-scale workflows.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015017/workflowenergy consumptionheuristic policycloud computing |
| spellingShingle | Peng XIAO Zhi-gang HU Xi-long QU Energy-aware scheduling policy for data-intensive workflow Tongxin xuebao workflow energy consumption heuristic policy cloud computing |
| title | Energy-aware scheduling policy for data-intensive workflow |
| title_full | Energy-aware scheduling policy for data-intensive workflow |
| title_fullStr | Energy-aware scheduling policy for data-intensive workflow |
| title_full_unstemmed | Energy-aware scheduling policy for data-intensive workflow |
| title_short | Energy-aware scheduling policy for data-intensive workflow |
| title_sort | energy aware scheduling policy for data intensive workflow |
| topic | workflow energy consumption heuristic policy cloud computing |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015017/ |
| work_keys_str_mv | AT pengxiao energyawareschedulingpolicyfordataintensiveworkflow AT zhiganghu energyawareschedulingpolicyfordataintensiveworkflow AT xilongqu energyawareschedulingpolicyfordataintensiveworkflow |