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» Computational and data Grids in large-scale science and engi...
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KER
2011
12 years 12 months ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen
ESCIENCE
2006
IEEE
14 years 3 months ago
Adapting and Evaluating Commercial Workflow Engines for e-Science
Numerous Grid workflow engines exist, each generally specialized for a single application domain such as protein folding. Although the underlying purpose and functionality of the ...
Sharanya Eswaran, David Del Vecchio, Glenn S. Wass...
GRID
2006
Springer
13 years 9 months ago
Workflow Global Computing with YML
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...
Olivier Delannoy, Nahid Emad, Serge G. Petiton
CAI
2002
Springer
13 years 8 months ago
The Computing and Data Grid Approach: Infrastructure for Distributed Science Applications
Grid technology has evolved over the past several years to provide the services and infrastructure needed for building "virtual" systems and organizations. With this Gri...
William E. Johnston
GRID
2008
Springer
13 years 10 months ago
Troubleshooting thousands of jobs on production grids using data mining techniques
Large scale production computing grids introduce new challenges in debugging and troubleshooting. A user that submits a workload consisting of tens of thousands of jobs to a grid ...
David A. Cieslak, Nitesh V. Chawla, Douglas Thain