Article (Scientific journals)
Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems
Guzek, Mateusz; Pecero, Johnatan; Dorronsoro, Bernabé et al.
2014In Applied Soft Computing, 24, p. 432-446
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Keywords :
Evolutionary algorithms; Multi-objective optimization;; Scheduling
Abstract :
[en] The ongoing increase of energy consumption by IT infrastructures forces data center managers to find innovative ways to improve energy efficiency. The latter is also a focal point for different branches of computer science due to its financial, ecological, political, and technical consequences. One of the answers is given by scheduling combined with dynamic voltage scaling technique to optimize the energy consumption. The way of reasoning is based on the link between current semiconductor technologies and energy state management of processors, where sacrificing the performance can save energy. This paper is devoted to investigate and solve the multi-objective precedence constrained application scheduling problem on a distributed computing system, and it has two main aims: the creation of general algorithms to solve the problem and the examination of the problem by means of the thorough analysis of the results returned by the algorithms. The first aim was achieved in two steps: adaptation of state-of-the-art multi-objective evolutionary algorithms by designing new operators and their validation in terms of performance and energy. The second aim was accomplished by performing an extensive number of algorithms executions on a large and diverse benchmark and the further analysis of performance among the proposed algorithms. Finally, the study proves the validity of the proposed method, points out the best-compared multi-objective algorithm schema, and the most important factors for the algorithms performance.
Disciplines :
Computer science
Author, co-author :
Guzek, Mateusz ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Pecero, Johnatan ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Dorronsoro, Bernabé ;  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)
Language :
English
Title :
Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems
Publication date :
November 2014
Journal title :
Applied Soft Computing
ISSN :
1872-9681
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
24
Pages :
432-446
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FNR - Fonds National de la Recherche [LU]
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