Energy aware colocation of workload in data centers

Madhurima Pore, Zahra Abbasi, Sandeep Gupta, Georgios Varsamopoulos

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

2 Scopus citations

Abstract

There exists an interference due to colocating applications which depends on the applications' workload types, degrades the performance and affects the energy consumption of applications. We hypothesize the interference energy consumption and model it as 'interference coefficient' and use it to develop an application-aware colocation management policy to colocate the applications in data centers. Including the interference effect in simulations using synthetic workload in the colocation management policy results energy savings of up to 8%.

Original languageEnglish (US)
Title of host publication2012 19th International Conference on High Performance Computing, HiPC 2012
DOIs
StatePublished - Dec 1 2012
Event2012 19th International Conference on High Performance Computing, HiPC 2012 - Pune, India
Duration: Dec 18 2012Dec 21 2012

Publication series

Name2012 19th International Conference on High Performance Computing, HiPC 2012

Other

Other2012 19th International Conference on High Performance Computing, HiPC 2012
CountryIndia
CityPune
Period12/18/1212/21/12

Keywords

  • Energy efficient colocation
  • energy proportionality and Data center energy efficiency

ASJC Scopus subject areas

  • Software

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