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A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
Univ Lille, Lille, France.
Univ Republica, Montevideo, Uruguay.
The University of Sydney, Australia.ORCID iD: 0000-0001-9194-010X
The University of Sydney, Sydney, Australia.
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2014 (English)In: Sustainable Computing: Informatics and Systems, ISSN 2210-5379, E-ISSN 2210-5387, Vol. 4, no 4, 252-261 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 4, no 4, 252-261 p.
Keyword [en]
Energy efficiency, Workflows, Multicore, Scheduling heuristics
National Category
Computer Science
Research subject
Computer Science
URN: urn:nbn:se:kau:diva-46080DOI: 10.1016/j.suscom.2014.08.003ISI: 000209576700006OAI: diva2:970870


Available from: 2016-09-14 Created: 2016-09-14 Last updated: 2016-09-18Bibliographically approved

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Taheri, Javid
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