Reference : On the Energy Optimization for Precedence Constrained Applications using Local Search...

	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/10993/2275

Title :	On the Energy Optimization for Precedence Constrained Applications using Local Search Algorithms
Language :	English
Author, co-author :	Pecero, Johnatan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Fraire Huacuja, Hector Joaquin [Instituto Tecnológico de Ciudad Madero]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Santiago Pineda, Aurelio Alejandro [> >]
	López Locés, Mario César [> >]
	González Barbosa, Juan Javier [> >]
Publication date :	2-Jul-2012
Main document title :	International Conference on High Performance Computing and Simulation (HPCS), 2012
Pages :	133 - 139
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-4673-2361-1
Event name :	High Performance Computing & Simulation (HPCS 2012)
Event date :	July 2 - July 6
Event place (city) :	Madrid
Event country :	Spain
Keywords :	[en] performance of systems ; scheduling ; energy conservation
Abstract :	[en] We investigate the problem of scheduling precedence constrained applications on a distributed heterogeneous computing system with the aim of minimizing schedule length and reducing energy consumption. We present a scheduling algorithm based on the best-effort idea that promotes local search algorithms and dynamic voltage scaling to reduce energy consumption. The final goal is to maintain a given performance while minimizing energy use. The proposed approach first uses a list-based scheduling algorithm to find near-optimal solutions for schedule length, then local search algorithms with dynamic voltage scaling are applied to reduce energy consumption. However the algorithm it's not allowed to deteriorate the schedule length computed by the best-effort algorithm. We discuss simulation results obtained with sets of real-world applications that emphasize the interest of the approach.
Permalink :	http://hdl.handle.net/10993/2275
Commentary :	Proceedings of the 2012 International Conference on High Performance Computing & Simulation (HPCS 2012)

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