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FGCS
2007
160views more  FGCS 2007»
13 years 7 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
CCGRID
2007
IEEE
14 years 2 months ago
Relative Performance of Scheduling Algorithms in Grid Environments
Abstract— Effective scheduling is critical for the performance of an application launched onto the Grid environment [11], [12]. Finding effective scheduling algorithms for this...
Yang Zhang, Charles Koelbel, Ken Kennedy
PDP
2003
IEEE
14 years 29 days ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
IPPS
2006
IEEE
14 years 1 months ago
Anticipated distributed task scheduling for grid environments
Heterogeneous distributed environments or grid environments provide large computing resources for the execution of large scientific applications. The effective use of those plat...
Thomas Rauber, Gudula Rünger
CCGRID
2004
IEEE
13 years 11 months ago
Surfer: an extensible pull-based framework for resource selection and ranking
Grid computing aims to connect large numbers of geographically and organizationally distributed resources to increase computational power, resource utilization, and resource acces...
Paul Z. Kolano