Autonomic power and performance management of high-performance servers

Bithika Khargharia, Salim A Hariri, Wael Kdouh, Manal Houri, Hesham El-Rewini, Mazin Yousif

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

Abstract

With the increased complexity of platforms coupled with data centers' servers sprawl, power consumption is reaching unsustainable limits. Researchers have addressed data centers' power & performance management at different hierarchies going from server clusters to servers to individual components within the server. This paper presents a novel technique for autonomic power & performance management of a high-performance server platform that consists of multi-core processor and multi-rank memory subsystems. Both the processor and/or the memory subsystem are dynamically reconfigured (expanded or contracted) to suit the application resource requirements. The reconfigured platform creates the opportunity for power savings by transitioning any unused platform capacity (processor/memory) into low-power states for as long as the platform performance remains within given acceptable thresholds. The platform power expenditure is minimized subject to platform performance parameters, which is formulated as an optimization problem. Our experimental results show around 58.33% savings in power as compared to static power management techniques.

Original languageEnglish (US)
Title of host publicationIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
DOIs
StatePublished - 2008
EventIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium - Miami, FL, United States
Duration: Apr 14 2008Apr 18 2008

Other

OtherIPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
CountryUnited States
CityMiami, FL
Period4/14/084/18/08

Fingerprint

Servers
Data storage equipment
Electric power utilization

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Electrical and Electronic Engineering

Cite this

Khargharia, B., Hariri, S. A., Kdouh, W., Houri, M., El-Rewini, H., & Yousif, M. (2008). Autonomic power and performance management of high-performance servers. In IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM [4536418] https://doi.org/10.1109/IPDPS.2008.4536418

Autonomic power and performance management of high-performance servers. / Khargharia, Bithika; Hariri, Salim A; Kdouh, Wael; Houri, Manal; El-Rewini, Hesham; Yousif, Mazin.

IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 2008. 4536418.

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

Khargharia, B, Hariri, SA, Kdouh, W, Houri, M, El-Rewini, H & Yousif, M 2008, Autonomic power and performance management of high-performance servers. in IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM., 4536418, IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium, Miami, FL, United States, 4/14/08. https://doi.org/10.1109/IPDPS.2008.4536418
Khargharia B, Hariri SA, Kdouh W, Houri M, El-Rewini H, Yousif M. Autonomic power and performance management of high-performance servers. In IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 2008. 4536418 https://doi.org/10.1109/IPDPS.2008.4536418
Khargharia, Bithika ; Hariri, Salim A ; Kdouh, Wael ; Houri, Manal ; El-Rewini, Hesham ; Yousif, Mazin. / Autonomic power and performance management of high-performance servers. IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM. 2008.
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