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» Resource Allocation in the Grid Using Reinforcement Learning
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2004
IEEE
13 years 11 months ago
Bandwidth-aware co-allocating meta-schedulers for mini-grid architectures
The interaction of simultaneously co-allocated jobs can often create contention in the network infrastructure of a dedicated computational grid. This contention can lead to degrad...
William M. Jones, Louis W. Pang, Walter B. Ligon I...
GLOBECOM
2008
IEEE
13 years 7 months ago
Autonomous Network Management Using Cooperative Learning for Network-Wide Load Balancing in Heterogeneous Networks
Traditional hop-by-hop dynamic routing makes inefficient use of network resources as it forwards packets along already congested shortest paths while uncongested longer paths may b...
Minsoo Lee, Xiaohui Ye, Dan Marconett, Samuel John...
JSAC
2006
120views more  JSAC 2006»
13 years 7 months ago
A Tutorial on Cross-Layer Optimization in Wireless Networks
This tutorial paper overviews recent developments in optimization-based approaches for resource allocation problems in wireless systems. We begin by overviewing important results i...
Xiaojun Lin, Ness B. Shroff, R. Srikant
HPDC
2009
IEEE
14 years 2 months ago
Resource co-allocation for large-scale distributed environments
Advances in the development of large scale distributed computing systems such as Grids and Computing Clouds have intensified the need for developing scheduling algorithms capable...
Claris Castillo, George N. Rouskas, Khaled Harfous...
ICML
1999
IEEE
14 years 8 months ago
Distributed Value Functions
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...