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» Resource Allocation in the Grid Using Reinforcement Learning
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CONCURRENCY
2002
230views more  CONCURRENCY 2002»
13 years 7 months ago
Economic models for resource management and scheduling in Grid computing
: The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promising next generation computing platforms. They enable the creation of Virtual Ent...
Rajkumar Buyya, David Abramson, Jonathan Giddy, He...
IWANN
1999
Springer
13 years 11 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
ATAL
2005
Springer
14 years 1 months ago
Modeling task allocation using a decision theoretic model
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
Sherief Abdallah, Victor R. Lesser
CATE
2004
128views Education» more  CATE 2004»
13 years 9 months ago
A Service-oriented Approach for Pervasive Learning Grid
This investigation proposed a service-oriented approach based on a pervasive learning grid for solving the difficulties associated with sharing learning resources distributed on d...
Ching-Jung Liao, Fan-Chuan Yang
CCGRID
2006
IEEE
14 years 1 months ago
Virtual Clusters for Grid Communities
A challenging issue facing Grid communities is that while Grids can provide access to many heterogeneous resources, the resources to which access is provided often do not match th...
Ian T. Foster, Timothy Freeman, Katarzyna Keahey, ...