DENS: Data Center Energy-Efficient Network-Aware Scheduling

Kliazovich, Dzmitry; Bouvry, Pascal; Khan, Samee Ullah

Reference : DENS: Data Center Energy-Efficient Network-Aware Scheduling


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/9505

Title :	DENS: Data Center Energy-Efficient Network-Aware Scheduling
Language :	English
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 [> >]
Publication date :	2010
Main document title :	IEEE/ACM International Conference on Green Computing and Communications (GreenCom), Hangzhou, China, 2010
Pages :	69 - 75
Peer reviewed :	Yes
ISBN :	978-0-7695-4331-4
Event name :	IEEE/ACM International Conference on Green Computing and Communications (GreenCom)
Event date :	2010
Event place (city) :	Hangzhou
Event country :	China
Keywords :	[en] 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).
Permalink :	http://hdl.handle.net/10993/9505
Commentary :	IEEE/ACM International Conference on Green Computing and Communications (GreenCom)

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