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CCGRID
2008
IEEE
16 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
CVPR
2007
IEEE
15 years 8 months ago
Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid
Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited, however, by the resolution of...
Ying Bai, Xiao Han, Jerry L. Prince
PDPTA
2003
15 years 8 months ago
HPJava: Programming Support for High-Performance Grid-Enabled Applications
The paper begins by considering what a Grid Computing Environment might be, why it is demanded, and how the authors’ HPspmd programming fits into this picture. We then review o...
Han-Ku Lee, Bryan Carpenter, Geoffrey Fox, Sang Bo...
CONCURRENCY
2008
124views more  CONCURRENCY 2008»
15 years 6 months ago
A service-oriented Grid environment for integration of distributed kidney models and resources
In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in s...
Xingchen Chu, Andrew Lonie, Peter Harris, S. Randa...
BCI
2009
IEEE
16 years 1 months ago
Database Oriented Grid Middlewares
—Efficient management of massive data sets is a key aspect in typical grid and e-science applications. To this end, the benefits of employing database technologies in such appl...
Efthymia Tsamoura, Anastasios Gounaris