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» Resource Allocation in the Grid Using Reinforcement Learning
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APPROX
2006
Springer
89views Algorithms» more  APPROX 2006»
13 years 11 months ago
Online Algorithms to Minimize Resource Reallocations and Network Communication
Abstract. In this paper, we consider two new online optimization problems (each with several variants), present similar online algorithms for both, and show that one reduces to the...
Sashka Davis, Jeff Edmonds, Russell Impagliazzo
HPDC
2003
IEEE
14 years 26 days ago
The Ethernet Approach to Grid Computing
Despite many competitors, Ethernet became the dominant protocol for local area networking due to its simplicity, robustness, and efficiency in wide variety of conditions and tech...
Douglas Thain, Miron Livny
AAAI
2011
12 years 7 months ago
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
Prashant P. Reddy, Manuela M. Veloso
CCGRID
2008
IEEE
13 years 9 months ago
Performance Optimization for Multi-agent Based Simulation in Grid Environments
Multi-agent based simulation (MABS) is a discrete event simulation technique used to study complex systems with entities having social and autonomous behavior. MABS applications a...
Dawit Mengistu, Peter Tröger
HPDC
2008
IEEE
14 years 2 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton