Autonomic power and performance management for computing systems

Bithika Khargharia, Salim Hariri, Mazin S. Yousif

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

11 Scopus citations

Abstract

With the increased complexity of platforms, the growing demand of applications and data centers' servers sprawl, power consumption is reaching unsustainable limits. The need to improved power management is becoming essential for many reasons including reduced power consumption & cooling, improved density, reliability & compliance with environmental standards. This paper presents a theoretical framework and methodology for autonomie power and performance management in e-business data centers. We optimize for power and performance (performance/watt) at each level of the hierarchy while maintaining scalability. We adopt mathematically-rigorous optimization approach minimizing power while meeting performance constraints. Our experimental results show around 72% savings in power as compared to static power management techniques and 69.8% additional savings with both global and local optimizations.

Original languageEnglish (US)
Title of host publicationProceedings - 3rd International Conference on Autonomic Computing, ICAC 2006
Pages145-154
Number of pages10
StatePublished - 2006
Event3rd International Conference on Autonomic Computing, ICAC 2006 - Dublin, Ireland
Duration: Jun 13 2006Jun 16 2006

Publication series

NameProceedings - 3rd International Conference on Autonomic Computing, ICAC 2006
Volume2006

Other

Other3rd International Conference on Autonomic Computing, ICAC 2006
Country/TerritoryIreland
CityDublin
Period6/13/066/16/06

Keywords

  • Autonomic management
  • Optimization
  • Power

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • General Mathematics

Fingerprint

Dive into the research topics of 'Autonomic power and performance management for computing systems'. Together they form a unique fingerprint.

Cite this