A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment-Reference-Cited by-同舟云学术

A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment

Published:2015 Issue: Volume: Page:163-189
ISSN:
Container-title:Handbook on Data Centers
language:
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Author:

Mehrotra Rajat,Banicescu Ioana,Srivastava Srishti,Abdelwahed Sherif

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4939-2092-1_5

Reference45 articles.

1. Report to congress on server and data center energy efficiency public law 109-431. Technical report, U.S. Environmental Protection Agency ENERGY STAR Program, August 2 2007.

2. A simple way to estimate the cost of downtime. In Proceedings of the 16th USENIX conference on System administration (LISA '02), pages 185–188, Berkeley, CA, USA, 2002. USENIX Association.

3. Wu chun Feng, Xizhou Feng, and Rong Ge. Green supercomputing comes of age. IT Professional, 10(1):17–23, 2008.

4. W. Feng. Green destiny + mpiblast = bioinfomagic. In 10th International Conference on Parallel Computing (PARCO), pages 653–660, 2003.

5. Rong Ge, Xizhou Feng, Wu-chun Feng, and Kirk W. Cameron. Cpu miser: A performance-directed, run-time system for power-aware clusters. In Proceedings of the 2007 International Conference on Parallel Processing (ICPP '07), page 18, Washington, DC, USA, 2007. IEEE Computer Society.

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