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» Resource Allocation in the Grid Using Reinforcement Learning
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IPPS
2009
IEEE
14 years 2 months ago
A resource allocation approach for supporting time-critical applications in grid environments
— There are many grid-based applications where a timely response to an important event is needed. Often such response can require a significant computation and possibly communic...
Qian Zhu, Gagan Agrawal
CIMCA
2006
IEEE
14 years 1 months ago
Model-driven Walks for Resource Discovery in Peer-to-Peer Networks
In this paper, a distributed and adaptive approach for resource discovery in peer-to-peer networks is presented. This approach is based on the mobile agent paradigm and the random...
Mohamed Bakhouya, Jaafar Gaber
ICMLA
2003
13 years 8 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
ICAI
2004
13 years 9 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson
ICSOC
2004
Springer
14 years 26 days ago
An OGSA-based accounting system for allocation enforcement across HPC centers
In this paper, we present an Open Grid Services Architecture (OGSA)-based decentralized allocation enforcement system, developed with an emphasis on a consistent data model and ea...
Thomas Sandholm, Peter Gardfjäll, Erik Elmrot...