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» Resource Allocation in the Grid Using Reinforcement Learning
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ATAL
2007
Springer
14 years 1 months ago
Reinforcement learning with utility-aware agents for market-based resource allocation
Categories and Subject Descriptors Artificial Intelligence Distributed Artificial Intelligence General Terms Keywords
Eduardo Rodrigues Gomes, Ryszard Kowalczyk
AUSAI
2005
Springer
14 years 1 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
AUSAI
2005
Springer
14 years 1 months ago
Adaptive Utility-Based Scheduling in Resource-Constrained Systems
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
David Vengerov
CCGRID
2006
IEEE
14 years 1 months ago
Imprecise Computation Grid Application Model for Flexible Market-Based Resource Allocation
Market-based resource management is becoming an emerging issue as the utilization of Grid computing is growing rapidly, particularly in the business field. In this paper, we prov...
Kyong Hoon Kim, Rajkumar Buyya, Jong Kim
GRID
2006
Springer
13 years 7 months ago
Metascheduling Multiple Resource Types using the MMKP
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...