Autonomic power & performance management for large-scale data centers

Bithika Khargharia, Salim Hariri, Ferenc Szidarovszky, Manal Houri, Hesham El-Rewini, Samee Ullah Khan, Ishfaq Ahmad, Mazin S. Yousif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

With the rapid growth of servers and applications spurred by the Internet, the power consumption of servers has become critically important and must be efficiently managed. High energy consumption also translates into excessive heat dissipation which in turn, increases cooling costs and causes servers to become more prone to failure. This paper presents a theoretical and experimental framework and general methodology for hierarchical autonomic power & performance management in high performance distributed data centers. We optimize for power & performance (performance/watt) at each level of the hierarchy while maintaining scalability. We adopt mathematicallyrigorous optimization approach to provide the application with the required amount of memory at runtime. This enables us to transition the unused memory capacity to a low power state. Our experimental results show a maximum performance/watt improvement of 88.48% compared to traditional techniques. We also present preliminary results of using Game Theory to optimize performance/watt at the cluster level of a data center. Our cooperative technique reduces the power consumption by 65% when compared to traditional techniques (min-min heuristic).

Original languageEnglish (US)
Title of host publicationProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM
DOIs
StatePublished - Sep 24 2007
Externally publishedYes
Event21st International Parallel and Distributed Processing Symposium, IPDPS 2007 - Long Beach, CA, United States
Duration: Mar 26 2007Mar 30 2007

Publication series

NameProceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM

Other

Other21st International Parallel and Distributed Processing Symposium, IPDPS 2007
CountryUnited States
CityLong Beach, CA
Period3/26/073/30/07

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Mathematics(all)

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  • Cite this

    Khargharia, B., Hariri, S., Szidarovszky, F., Houri, M., El-Rewini, H., Khan, S. U., Ahmad, I., & Yousif, M. S. (2007). Autonomic power & performance management for large-scale data centers. In Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM [4228238] (Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM). https://doi.org/10.1109/IPDPS.2007.370510