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DENS: Data Center Energy-Efficient Network-Aware Scheduling
Kliazovich, Dzmitry; Bouvry, Pascal; Khan, Samee Ullah
2010In IEEE/ACM International Conference on Green Computing and Communications (GreenCom), Hangzhou, China, 2010
Peer reviewed
 

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Keywords :
network-aware scheduling; energy-efficient; cloud computing
Abstract :
[en] In modern data centers, energy consumption accounts for a considerably large slice of operational expenses. The state of the art in data center energy optimization is focusing only on job distribution between computing servers based on workload or thermal profiles. This paper underlines the role of communication fabric in data center energy consumption and presents a scheduling approach that combines energy efficiency and network awareness, termed DENS. The DENS methodology balances the energy consumption of a data center, individual job performance, and traffic demands. The proposed approach optimizes the tradeoff between job consolidation (to minimize the amount of computing servers) and distribution of traffic patterns (to avoid hotspots in the data center network).
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-528
Author, co-author :
Kliazovich, Dzmitry ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Khan, Samee Ullah
Language :
English
Title :
DENS: Data Center Energy-Efficient Network-Aware Scheduling
Publication date :
2010
Event name :
IEEE/ACM International Conference on Green Computing and Communications (GreenCom)
Event place :
Hangzhou, China
Event date :
2010
Main work title :
IEEE/ACM International Conference on Green Computing and Communications (GreenCom), Hangzhou, China, 2010
ISBN/EAN :
978-0-7695-4331-4
Pages :
69 - 75
Peer reviewed :
Peer reviewed
Commentary :
IEEE/ACM International Conference on Green Computing and Communications (GreenCom)
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since 27 October 2013

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