Green Flexible Opportunistic Computing with Virtualization
English
Castro, Harold[Universidad de los Andes - Uniandes > Department of System and Computing Engineering > Head > PhD]
Sotelo, German[Universidad de los Andes - Uniandes > Department of System and Computing Engineering > > Msc.]
Diaz, Cesar[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) >]
2011
Proceedings of the 2011 IEEE 11th International Conference on Computer and Information Technology, CIT'11
IEEE Computer Society
629-634
Yes
Yes
International
978-0-7695-4388-8
Washington
DC, USA
11th IEEE International Conference On Computer and Information Technology
from 31-08-2011 to 02-09-2011
Paphos
Cyprus
[en] grid computing ; opportunistic computing ; scalable architectures ; virtualization ; energy-aware systems ; performance of systems
[en] Energy efficiency and High computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize the end user offer, virtualization is considered as one key tech- niques to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This paper presents an energy efficient approach for opportunistic grids based on virtualization. The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing sys- tems without disturbing the end-user.
Workshop on Scalable Solutions for GreenIT (SCALSOL 2011) In The 11th IEEE International Conference on Scalable Computing and Communications (SCALCOM 2011)