A call for energy efficiency in data centers

Michael Pawlish, Aparna Varde, Stefan Robila, Anand Ranganathan

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

In this paper, we explore a data center's performance with a call for energy efficiency through green computing. Some performance metrics we examine in data centers are server energy usage, Power Usage Effectiveness and utilization rate, i.e., the extent to which data center servers are being used. Recent literature indicates that utilization rates at many internal data centers are quite low, resulting in poor usage of resources such as energy and materials. Based on our study, we attribute these low utilization rates to not fully taking advantage of virtualization, and not retiring phantom (unused) servers. This paper describes our initiative corroborated with real data in a university setting. We suggest that future data centers will need to increase their utilization rates for better energy efficiency, and moving towards a cloud provider would help. However, we argue that neither a pure in-house data center or cloud model is the best solution. Instead we recommend, from a decision support perspective, a hybrid model in data center management to lower costs and increase services, while also providing greater energy efficiency.

Original languageEnglish
Pages (from-to)45-51
Number of pages7
JournalSIGMOD Record
Volume43
Issue number1
DOIs
StatePublished - 1 Jan 2014

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Energy efficiency
Servers
Costs
Green computing
Virtualization

Keywords

  • Cloud
  • Data Centers
  • Energy Efficiency
  • Green IT
  • Utilization Rates

Cite this

Pawlish, Michael ; Varde, Aparna ; Robila, Stefan ; Ranganathan, Anand. / A call for energy efficiency in data centers. In: SIGMOD Record. 2014 ; Vol. 43, No. 1. pp. 45-51.
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A call for energy efficiency in data centers. / Pawlish, Michael; Varde, Aparna; Robila, Stefan; Ranganathan, Anand.

In: SIGMOD Record, Vol. 43, No. 1, 01.01.2014, p. 45-51.

Research output: Contribution to journalArticleResearchpeer-review

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