Title :
Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems
Author :
Diaz, Cesar O. ; Guzek, Mateusz ; Pecero, Johnatan E. ; Bouvry, Pascal ; Khan, Samee U.
Author_Institution :
Comput. Sci. & Commun. Res. Unit, Univ. of Luxembourg, Luxembourg, Luxembourg
fDate :
Aug. 31 2011-Sept. 2 2011
Abstract :
The scalability of a computing system can be identified by at least three components: (a) size, (b) geographical 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 performance 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 efficiently as related approaches, demonstrating their applicability and scalability for the considered problem.
Keywords :
energy consumption; large-scale systems; power aware computing; scheduling; administrative constraints; computing system; energy consumption; energy efficient scheduling techniques; geographical distribution; large-scale systems; low complexity energy-efficient algorithms; Computational modeling; Energy consumption; Heuristic algorithms; Measurement; Processor scheduling; Scalability; Scheduling; energy conservation; heterogeneous computing systems; performance of systems; scalability; scheduling;
Conference_Titel :
Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
Conference_Location :
Pafos
Print_ISBN :
978-1-4577-0383-6
Electronic_ISBN :
978-0-7695-4388-8
DOI :
10.1109/CIT.2011.106
