Analyzing utilization rates in data centers for optimizing energy management

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, we explore academic data center utilization rates from an energy management perspective with the broader goal of providing decision support for green computing. The utilization rate is defined as the overall extent to which data center servers are being used and is usually recorded as a percentage. Recent literature states that utilization rates at many data centers are quite low resulting in poor usage of resources such as energy and labor. Based on our study we attribute these lower utilization rates to not fully taking advantage of virtualization and cloud technology. This paper describes our research including energy data analysis with our proposed equations for performance measurement and forecasting, corroborated by evaluation with real data in a university setting. We suggest that future data centers will need to increase their utilization rates and thus shift more towards the cloud in order to lower costs and increase services despite current concerns for security of cloud technology.

Original languageEnglish
Title of host publication2012 International Green Computing Conference, IGCC 2012
DOIs
StatePublished - 26 Nov 2012
Event2012 International Green Computing Conference, IGCC 2012 - San Jose, CA, United States
Duration: 4 Jun 20128 Jun 2012

Publication series

Name2012 International Green Computing Conference, IGCC 2012

Other

Other2012 International Green Computing Conference, IGCC 2012
CountryUnited States
CitySan Jose, CA
Period4/06/128/06/12

Keywords

  • Cloud
  • Data Centers
  • Forecasting
  • Green IT
  • Utilization Rates

Fingerprint Dive into the research topics of 'Analyzing utilization rates in data centers for optimizing energy management'. Together they form a unique fingerprint.

Cite this