Adaptive energy-efficient scheduling algorithm for parallel tasks on homogeneous clusters

Increasing attention has been directed towards the two key issues of performance and energy consumption for parallel applications in high performance clusters. The traditional energy-efficient scheduling algorithms mainly leverage a threshold to balance system performance and energy consumption. But...

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Veröffentlicht in:	Journal of network and computer applications Jg. 41; S. 101 - 113
Hauptverfasser:	Liu, Wei, Du, Wei, Chen, Jing, Wang, Wei, Zeng, GuoSun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.05.2014 Elsevier
Schlagworte:	Adaptive threshold Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Dynamic voltage scaling (DVS) Electrical engineering. Electrical power engineering Energy efficiency Exact sciences and technology Homogeneous clusters Language processing and microprogramming Power electronics, power supplies Software Task duplication Task duplication Energy efficiency Adaptive threshold Homogeneous clusters Dynamic voltage scaling (DVS) Performance evaluation Energy consumption Adaptive algorithm Adaptive method Performance requirement Energetic efficiency Threshold High performance Parallel algorithm Probabilistic approach Duplication Cluster Power electronics Scheduling Distributed system Energy savings Scaling law Experimental result Parallelism Energy management
ISSN:	1084-8045, 1095-8592
Online-Zugang:	Volltext
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