Reference : Energy-efficient scheduling on milliclusters with performance constraints

	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/10993/17369

Title :	Energy-efficient scheduling on milliclusters with performance constraints
Language :	English
Author, co-author :	Pinel, Frédéric [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Pecero, Johnatan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Khan, Samee U. [North Dakota State University]
Publication date :	2011
Main document title :	Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-0-7695-4466-3
Event name :	2011 IEEE/ACM International Conference on Green Computing and Communications (GreenCom 2011)
Event date :	August, 2011
Event place (city) :	Chengdu
Event country :	China
Keywords :	[en] millicomputing ; pipeline ; scheduling
Abstract :	[en] Today’s datacenters and large scale enterprise com- puting are power hungry. A lot of research effort is devoted in industry and academy to address this challenging issue. In this context, a new type of enterprise computing platform is being investigated. This computing platform is composed of hundred of millicomputers, each requiring orders of magnitude less power. However, this approach brings challenges that must be met in order to compete with the current practice. This paper addresses two such critical challenges. First, it suggests how to decompose large applications into smaller tasks, better suited to millicomputers. Then, it casts the performance oriented and energy efficient problem into a soft real-time scheduling problem, for which several algorithms are then proposed and evaluated. Sensitivity analysis is used to provide insights into the model, and plan the evaluation of the scheduling algorithms. The contention found in multi-core millicomputing processors is also accounted for.
Permalink :	http://hdl.handle.net/10993/17369
DOI :	10.1109/GreenCom.2011.16

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