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» Resource Allocation in the Grid Using Reinforcement Learning
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AAAI
1994
14 years 11 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
14 years 11 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
15 years 3 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
15 years 3 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
15 years 1 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