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» Distributed data mining in grid computing environments
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CLUSTER
2008
IEEE
15 years 9 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
ACSC
2003
IEEE
15 years 7 months ago
Extensible Job Managers for Grid Computing
Grid computing is becoming an important framework for enabling applications to utilize widely distributed collections of computational and data resources, however current grid sof...
Paul D. Coddington, Lici Lu, Darren Webb, Andrew L...
142
Voted
FGCS
2007
78views more  FGCS 2007»
15 years 2 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...
132
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ESCIENCE
2006
IEEE
15 years 8 months ago
Communication over a Secured Heterogeneous Grid with the GriddLeS Runtime Environment
Scientific workflows are a powerful programming technique for specifying complex computations using a number of otherwise independent components. When used in a Grid environment, ...
Jagan Kommineni, David Abramson, Jefferson Tan
AINA
2005
IEEE
15 years 8 months ago
A Distributed Ontology Framework in the Semantic Grid Environment
This paper explores a distributed ontology framework for tailoring ontologies in the Semantic Grid environment. The framework is divided into five main categories; Ontology Proce...
Andrew Flahive, J. Wenny Rahayu, David Taniar, Ber...