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CSUR
2006
121views more  CSUR 2006»
13 years 5 months ago
A taxonomy of Data Grids for distributed data sharing, management, and processing
Data Grids have been adopted as the next-generation platform by many scientific communities that need to share, access, transport, process and manage large data collections distri...
Srikumar Venugopal, Rajkumar Buyya, Kotagiri Ramam...
SAINT
2007
IEEE
13 years 11 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
EENERGY
2010
13 years 9 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
CCGRID
2008
IEEE
13 years 11 months ago
Joint Communication and Computation Task Scheduling in Grids
In this paper we present a multicost algorithm for the joint time scheduling of the communication and computation resources that will be used by a task. The proposed algorithm sel...
Kostas Christodoulopoulos, Nikolaos D. Doulamis, E...
FGIT
2009
Springer
13 years 12 months ago
Predicting the Performance of a GRID Environment: An Initial Effort to Increase Scheduling Efficiency
GRID environments are privileged targets for computation-intensive problem solving in areas from weather forecasting to seismic analysis. Mainly composed by commodity hardware, th...
Nuno Guerreiro, Orlando Belo