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CSUR
2006
121views more  CSUR 2006»
13 years 7 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
14 years 1 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 11 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
14 years 1 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
14 years 1 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