Reference : GFOG: Green and Flexible Opportunistic Grids.
Parts of books : Contribution to collective works
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/8292
GFOG: Green and Flexible Opportunistic Grids.
English
Castro, Harold mailto [Universidad de los Andes - Uniandes > Department of System and Computing Engineering > Head > PhD]
Villamizar, Mario mailto [Universidad de los Andes - Uniandes > Department of System and Computing Engineering > > Msc.]
Sotelo, German mailto [Universidad de los Andes - Uniandes > Department of System and Computing Engineering > > Msc.]
Diaz, Cesar mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Pecero, Johnatan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Khan, Samee mailto [North Dakota State University > Electrical and Computer Engineering > > PhD]
Jan-2013
Scalable Computing and Communications. Theory and Practice
Khan, Samee mailto
Zomaya, Albert mailto
Lizhe, Wang mailto
Wiley&Sons
365-386
Yes
9781118162651
Hoboken
NJ, USA
[en] Grid Computing ; Desktop Grids ; Opportunistic Grids
[en] Energy efficiency and high performance computing are the basic design consider- ations across modern-day computing solutions due to different concerns, such as system functioning, 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 allow- ing the customization of execution environments, virtualization is considered as one key technique to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This work presented an energy efficient approach for opportunistic grids based on virtualization. The experimental results showed that depending on the strategy used to deploy virtual machines on desktop machines, virtu- alization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems, without disturbing the owner-user.
http://hdl.handle.net/10993/8292

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