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CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 9 months ago
Accelerating Large-scale Data Exploration through Data Diffusion
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
ECAIW
1994
Springer
14 years 1 months ago
An Agent Architecture for Distributed Medical Care
This paper describes the design and implementation of a layered agent architecture for decision support applications in general and for distributed medical care in particular. Thre...
Jun Huang, Nicholas R. Jennings, John Fox
MIDDLEWARE
2004
Springer
14 years 2 months ago
A grid service broker for scheduling distributed data-oriented applications on global grids
: The next generation of scientific experiments and studies, popularly called as e-Science, is carried out by large collaborations of researchers distributed around the world engag...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton
CCGRID
2006
IEEE
14 years 22 days ago
A Feedback Mechanism for Network Scheduling in LambdaGrids
Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories. A LambdaGri...
Pallab Datta, Sushant Sharma, Wu-chun Feng
ICASSP
2011
IEEE
13 years 22 days ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo