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2011 IEEE 11th International Conference on Computer and Information Technology
Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems
Paphos, Cyprus
August 31-September 02
ISBN: 978-0-7695-4388-8
| ASCII Text | x | ||
| Cesar O. Diaz, Mateusz Guzek, Johnatan E. Pecero, Pascal Bouvry, Samee U. Khan, "Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems," Computer and Information Technology, International Conference on, pp. 641-647, 2011 IEEE 11th International Conference on Computer and Information Technology, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/CIT.2011.106, author = {Cesar O. Diaz and Mateusz Guzek and Johnatan E. Pecero and Pascal Bouvry and Samee U. Khan}, title = {Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems}, journal ={Computer and Information Technology, International Conference on}, volume = {0}, year = {2011}, isbn = {978-0-7695-4388-8}, pages = {641-647}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2011.106}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer and Information Technology, International Conference on TI - Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems SN - 978-0-7695-4388-8 SP641 EP647 A1 - Cesar O. Diaz, A1 - Mateusz Guzek, A1 - Johnatan E. Pecero, A1 - Pascal Bouvry, A1 - Samee U. Khan, PY - 2011 KW - scalability KW - heterogeneous computing systems KW - energy conservation KW - scheduling KW - performance of systems VL - 0 JA - Computer and Information Technology, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2011.106
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.
Index Terms:
scalability, heterogeneous computing systems, energy conservation, scheduling, performance of systems
Citation:
Cesar O. Diaz, Mateusz Guzek, Johnatan E. Pecero, Pascal Bouvry, Samee U. Khan, "Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems," cit, pp.641-647, 2011 IEEE 11th International Conference on Computer and Information Technology, 2011
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