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» Resource Allocation in the Grid Using Reinforcement Learning
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AAAI
1994
13 years 8 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong
COLT
2008
Springer
13 years 9 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
JSSPP
2007
Springer
14 years 1 months ago
A Self-optimized Job Scheduler for Heterogeneous Server Clusters
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Elad Yom-Tov, Yariv Aridor
CCGRID
2006
IEEE
14 years 1 months ago
Resource Discovery Using PageRank Technique in Grid Environment
The grid deals with large scale and ever-expanding environment which contains million of users and resources. For this reason, resource selection has been a challenging task espec...
Noorisyam Hamid, Fazilah Haron, Chan Huah Yong
HPDC
2009
IEEE
13 years 11 months ago
Maestro: a self-organizing peer-to-peer dataflow framework using reinforcement learning
In this paper we describe Maestro, a dataflow computation framework for Ibis, our Java-based grid middleware. The novelty of Maestro is that it is a self-organizing peer-to-peer s...
C. van Reeuwijk