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» Distributed data mining in grid computing environments
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KDD
2008
ACM
274views Data Mining» more  KDD 2008»
16 years 5 months ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu
PDCAT
2005
Springer
15 years 10 months ago
A Scheduling Method for Divisible Workload Problem in Grid Environments
Scheduling divisible workloads in distributed systems has been one of the interesting research problems over the last few years. Most of the scheduling algorithms previously intro...
Nguyen The Loc, Said Elnaffar, Takuya Katayama, Tu...
CLUSTER
2005
IEEE
15 years 10 months ago
A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters
Interest in Grid computing has grown significantly over the past five years. Management of distributed cluster resources is a key issue in Grid computing. Central to management ...
Rajiv Ranjan, Rajkumar Buyya, Aaron Harwood
GRID
2004
Springer
15 years 10 months ago
DIRAC: A Scalable Lightweight Architecture for High Throughput Computing
— DIRAC (Distributed Infrastructure with Remote Agent Control) has been developed by the CERN LHCb physics experiment to facilitate large scale simulation and user analysis tasks...
Andrei Tsaregorodtsev, Vincent Garonne, Ian Stokes...
ESCIENCE
2007
IEEE
15 years 11 months ago
Community Training: Partitioning Schemes in Good Shape for Federated Data Grids
In federated Data Grids, individual institutions share their data sets within a community to enable collaborative data analysis. Data access needs to be provided in a scalable fas...
Tobias Scholl, Richard Kuntschke, Angelika Reiser,...