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Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems
Diaz, Cesar; Guzek, Mateusz; Pecero, Johnatan et al.
2011In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
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Keywords :
heterogenous computing systems; energy conservation; scheduling; performance of systems
Abstract :
[en] The scalability of a computing system can be identified by at least three components: (a) size, (b) geograph- ical distribution, and (c) administrative constraints. Newer paradigms, such as clouds, grids, and clusters bring in more parameters to the aforementioned list, namely heterogeneity, energy consumption, and transparency. To optimize the per- formance of a computing system, it is manner that exploits heterogeneity and is scalable. Moreover, newer systems also demand energy efficiency as an integral part of schedulers. In this paper, we evaluate the behavior of low complexity energy- efficient algorithms for scheduling. The set of experimental results showed that the evaluated heuristics perform as effi- ciently as related approaches; demonstrating their applicability and scalability for the considered problem.
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2011-290
Author, co-author :
Diaz, Cesar ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
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)
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 Fargo, ND, USA
External co-authors :
yes
Language :
English
Title :
Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems
Publication date :
2011
Event name :
IEEE International Conference On Scalable Computing SCALCOM 2011
Event place :
Paphos, Cyprus
Event date :
from 31-08-2011 to 02-09-2011
Audience :
International
Main work title :
Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
ISBN/EAN :
978-0-7695-4388-8
Pages :
641-647
Peer reviewed :
Peer reviewed
Commentary :
Proceedings of the 11th IEEE International Conference on Computer and Information Technology
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since 27 September 2013

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