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Opportunistic Energy-Aware Rescheduling in Desktop Grid Environments
Umeå University, Faculty of Science and Technology, Department of Computing Science.
University of Castilla-La Mancha.
University of Castilla-La Mancha.
2013 (English)In: 2013 International Conference on High Performance Computing & Simulation (HPCS2013), 2013, 178-185 p.Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays either maximizing energy efficiency andimproving resource utilization is a challenge among the differentexisting distributed systems, specially in large scale distributedenvironments such as Grids or Clouds. With this objective, wepropose a rescheduling technique that tries to improve resourceusage, whilst at the same time tries to minimize the energy neededfor the executions of the already accepted jobs by using first/morethe resources that are more energy efficient and without reducingthe QoS provided. The information obtained from a devicecapable of measuring the energy that each desktop resourceneeds is used by the algorithm at the resource selection process,resulting in a noticeable reduction in the energy used as it hasbeen demonstrated in a real desktop Grid environment.

Place, publisher, year, edition, pages
2013. 178-185 p.
Keyword [en]
Energy Consumption, Grid Computing, QoS, Rescheduling, Scheduling in Advance
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-79782DOI: 10.1109/HPCSim.2013.6641411ISBN: 978-1-4799-0837-0 (print)OAI: oai:DiVA.org:umu-79782DiVA: diva2:644785
Conference
2013 International Conference on High Performance Computing & Simulation (HPCS2013)
Available from: 2013-09-02 Created: 2013-09-02 Last updated: 2015-10-30Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf