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» Resource Allocation in the Grid Using Reinforcement Learning
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GRID
2004
Springer
14 years 25 days ago
A Novel Architecture for Realizing Grid Workflow using Tuple Spaces
Grid workflow can be defined as the composition of grid application services which execute on heterogeneous and distributed resources in a well-defined order to accomplish a speci...
Jia Yu, Rajkumar Buyya
COREGRID
2007
Springer
14 years 1 months ago
Co-Allocating Compute and Network Resources
Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distri...
Thomas Eickermann, Lidia Westphal, Oliver Wäl...
ISCI
2006
86views more  ISCI 2006»
13 years 7 months ago
Adaptive stock trading with dynamic asset allocation using reinforcement learning
Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zh...
IPPS
2005
IEEE
14 years 1 months ago
Job Allocation Schemes in Computational Grids Based on Cost Optimization
In this paper we propose two price-based job allocation schemes for computational grids. A grid system tries to solve problems submitted by various grid users by allocating the jo...
Satish Penmatsa, Anthony T. Chronopoulos
ESCIENCE
2005
IEEE
14 years 1 months ago
Transparent Resource Allocation to Exploit Idle Cluster Nodes in Computational Grids
Clusters of workstations are one of the most suitable resources to assist e-scientists in the execution of largescale experiments that demand processing power. The utilization rat...
Marco Aurélio Stelmar Netto, Rodrigo N. Cal...