Stochastic model for data center energy saving augmented by optical wireless links

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

7 Scopus citations

Abstract

Data Centers (DC) consume an enormous amount of energy, now accounting for about 1.5% of US electrical usage. However, part of this energy (server operation and cooling) can be saved by turning off idle servers. This can be achieved by rerouting workloads from partially loaded servers, and thus allowing additional idle servers to shut down. Workload rerouting could be done by optical wireless communication (OWC) links, which can be deployed on top the existing cable/fiber network. In comparison to classic wired infrastructure, OWC deployment and maintenance is faster and simpler, and it offers dynamic configuration of the network. In this paper we derive a stochastic model of data center energy reduction using optical wireless links as a function of the data center load. Our results indicate that for typical data center energy reduction of more than 5% could be achieved for given set of parameters.

Original languageEnglish
Title of host publicationProceedings - WiSEE 2016
Subtitle of host publication2016 IEEE International Conference on Wireless for Space and Extreme Environments
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-67
Number of pages4
ISBN (Electronic)9781509026098
DOIs
StatePublished - 1 Jan 2016
Event2016 IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2016 - Aachen, Germany
Duration: 26 Sep 201628 Sep 2016

Publication series

NameProceedings - WiSEE 2016: 2016 IEEE International Conference on Wireless for Space and Extreme Environments

Conference

Conference2016 IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2016
Country/TerritoryGermany
CityAachen
Period26/09/1628/09/16

Keywords

  • Data center
  • Energy consumption
  • Optical wireless communication

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Aerospace Engineering
  • Instrumentation

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