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» Resource Allocation in the Grid Using Reinforcement Learning
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WOA
2010
13 years 5 months ago
A Self-Organising System for Resource Finding in Large-Scale Computational Grids
This paper presents a novel approach for resource finding and job allocation in a computational Grid. The proposed system is called HYGRA, for HYperspace-based Grid Resource Alloca...
Fabrizio Messina, Giuseppe Pappalardo, Corrado San...
EGC
2005
Springer
14 years 1 months ago
Rapid Distribution of Tasks on a Commodity Grid
The global internet is rich in commodity resources but scarce in specialized resources. We argue that a grid framework can achieve better performance if it separates the management...
Ladislau Bölöni, Damla Turgut, Taskin Ko...
AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
CORR
2004
Springer
92views Education» more  CORR 2004»
13 years 7 months ago
Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System
Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking. One major challen...
Kevin Lai, Lars Rasmusson, Eytan Adar, Stephen Sor...
TVLSI
2002
119views more  TVLSI 2002»
13 years 7 months ago
Inductive properties of high-performance power distribution grids
Abstract--The design of high integrity, area efficient power distribution grids has become of practical importance as the portion of on-chip interconnect resources dedicated to pow...
Andrey V. Mezhiba, Eby G. Friedman