期刊
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
卷 29, 期 7, 页码 1661-1670出版社
ELSEVIER
DOI: 10.1016/j.future.2013.02.010
关键词
Cluster computing; Green computing; Task scheduling
资金
- One hundred talents program of Chinese Academy of Sciences
- National Natural Science Foundation of China [61272314]
- Program for New Century Excellent Talents in University [NCET-11-0722]
- Fundamental Research Funds for the Central Universities (CUG, Wuhan)
- Specialized Research Fund for the Doctoral Program of Higher Education [20110145110010]
- Excellent Youth Foundation of Hubei Scientific Committee [2012FFA025]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1016966] Funding Source: National Science Foundation
Reducing energy consumption for high end computing can bring various benefits such as reducing operating costs, increasing system reliability, and environmental respect. This paper aims to develop scheduling heuristics and to present application experience for reducing power consumption of parallel tasks in a cluster with the Dynamic Voltage Frequency Scaling (DVFS) technique. In this paper, formal models are presented for precedence-constrained parallel tasks, DVFS-enabled clusters, and energy consumption. This paper studies the slack time for non-critical jobs, extends their execution time and reduces the energy consumption without increasing the task's execution time as a whole. Additionally, Green Service Level Agreement is also considered in this paper. By increasing task execution time within an affordable limit, this paper develops scheduling heuristics to reduce energy consumption of a tasks execution and discusses the relationship between energy consumption and task execution time. Models and scheduling heuristics are examined with a simulation study. Test results justify the design and implementation of proposed energy aware scheduling heuristics in the paper. (c) 2013 Elsevier B.V. All rights reserved.
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