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ATAL
2004
Springer
15 years 3 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
ATAL
2007
Springer
15 years 3 months ago
Estimating information value in collaborative multi-agent planning systems
This paper addresses the problem of identifying the value of information held by a teammate on a distributed, multi-agent team. It focuses on a distributed scheduling task in whic...
David Sarne, Barbara J. Grosz
CCGRID
2006
IEEE
15 years 3 months ago
Integrating Gridcomputing and Metamodeling
Simulation and optimization of complex mechanical and electronical systems is a very time consuming and computationally intensive task. Therefore, metamodeling techniques are ofte...
Dirk Gorissen, Wouter Hendrickx, Karel Crombecq, T...
ATAL
2008
Springer
14 years 11 months ago
Suspending and resuming tasks in BDI agents
Intelligent agents designed to work in complex, dynamic environments must respond robustly and flexibly to environmental and circumstantial changes. An agent must be capable of de...
John Thangarajah, James Harland, David N. Morley, ...
SC
2009
ACM
15 years 4 months ago
Exploring many task computing in scientific workflows
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...