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» Optimizing Data Management in Grid Environments
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IMSCCS
2007
IEEE
14 years 1 months ago
Ensemble Subsurface Modeling Using Grid Computing Technology
Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...
BMCBI
2005
142views more  BMCBI 2005»
13 years 7 months ago
High performance workflow implementation for protein surface characterization using grid technology
Background: This study concerns the development of a high performance workflow that, using grid technology, correlates different kinds of Bioinformatics data, starting from the ba...
Ivan Merelli, Giulia Morra, Daniele D'Agostino, An...
HCW
1999
IEEE
13 years 12 months ago
A Unified Resource Scheduling Framework for Heterogeneous Computing Environments
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared resources, such as compute cycles, memory, communication network, and data repo...
Ammar H. Alhusaini, Viktor K. Prasanna, Cauligi S....
CLADE
2003
IEEE
14 years 25 days ago
vGrid: A Framework For Building Autonomic Applications
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
Bithika Khargharia, Salim Hariri, Manish Parashar,...
CORR
2010
Springer
148views Education» more  CORR 2010»
13 years 7 months ago
Data Sharing Options for Scientific Workflows on Amazon EC2
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Meht...