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A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
Dorronsoro, Bernabé
Univ Lille, Lille, France.
Nesmachnow, Sergio
Univ Republica, Montevideo, Uruguay.
Taheri, Javid
The University of Sydney, Australia.
ORCID iD:
0000-0001-9194-010X
Zomaya, Albert
The University of Sydney, Sydney, Australia.
Talbi, El-Ghazali
Univ Lille, Lille, France.
Bouvry, Pascal
Univ Luxembourg, Luxembourg, Luxembourg.
Show others and affiliations
2014 (English)
In:
Sustainable Computing: Informatics and Systems, ISSN 2210-5379, E-ISSN 2210-5387, Vol. 4, no 4, p. 252-261
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 4, no 4, p. 252-261
Keywords [en]
Energy efficiency, Workflows, Multicore, Scheduling heuristics
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN:
urn:nbn:se:kau:diva-46080
DOI:
10.1016/j.suscom.2014.08.003
ISI:
000209576700006
OAI: oai:DiVA.org:kau-46080
DiVA, id:
diva2:970870
Note
N/A
Available from:
2016-09-14
Created:
2016-09-14
Last updated:
2026-02-11
Bibliographically approved
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http://www.sciencedirect.com/science/article/pii/S2210537914000444
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