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» Resource Allocation in the Grid Using Reinforcement Learning
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CCGRID
2009
IEEE
14 years 18 days ago
Experiment and Workflow Management Using Cyberaide Shell
In recent years the power of Grid computing has grown exponentially through the development of advanced middleware systems. While usage has increased, the penetration of Grid compu...
Gregor von Laszewski, Andrew J. Younge, Xi He, Kum...
ICALT
2009
IEEE
14 years 14 days ago
An E-learning Ecosystem Based on Cloud Computing Infrastructure
Recently the research community has believed that an e-learning ecosystem is the next generation elearning. However, the current models of e-learning ecosystems lack the support o...
Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qi...
CGF
2004
194views more  CGF 2004»
13 years 8 months ago
Distributed and Collaborative Visualization
Visualization is a powerful tool for analysing data and presenting results in science, engineering and medicine. This paper reviews ways in which it can be used in distributed and...
Ken Brodlie, David A. Duce, Julian R. Gallop, J. P...
NIPS
1997
13 years 10 months ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr
SPRINGSIM
2007
13 years 9 months ago
Studying the impact of web-services implementation of distributed simulation of DEVS and Cell-DEVS models
DEVS is a Modeling and Simulation formalism that has been used to study the dynamics of discrete event systems. Cell-DEVS is a DEVS-based formalism that defines the cell space as ...
Rami Madhoun, Gabriel A. Wainer