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- W2392247071 abstract "A grid environment is characterized by its autonomy,its dynamic properties,its distributive properties,and its heterogeneity.We proposed a model for dynamic resource distribution and task scheduling based on a multi-agent system (MAS) collaborative game.An algorithm for dynamically solving task scheduling of grid resources was developed.It reflected actual relationships between supply and demand.The existence and uniqueness of a Nash equilibrium point in the resource distribution game was proven,and then the Nash equilibrium solution presented.The proposed method can make full use of the learning and negotiating abilities of consumer agents and also introduces psychologically driven behavior.In this way the resource application and task scheduling of consumers became more reasonable and effective.Experimental results demonstrated that this approach improves smoothness,throughput capacity and task solving efficiency compared to traditional methods.Supply and demand became more manageable,meeting the requirements of quality of service (QoS)." @default.
- W2392247071 created "2016-06-24" @default.
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- W2392247071 date "2010-01-01" @default.
- W2392247071 modified "2023-09-24" @default.
- W2392247071 title "Modeling and solving dynamic collaborative tasks in a multi-Agent system" @default.
- W2392247071 hasPublicationYear "2010" @default.
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