2007Journal of Lanzhou University of TechnologyRequires access

Manufacturing grid scheduling based on multi-agent and genetic algorithm

LI Rui-sheng

Open publisher page 1 citations

Abstract

In order to satisfy the multi-QoS requirement of the users in the manufacturing grid scheduling,a flexible and robust negotiation mechanism and scheduling algorithm were needed.Therefore a multi-agent based scheduling approach for the manufacturing grid was proposed.Contract net protocol for multi-agent cooperation and negotiation mechanism were employed,and then a genetic algorithm as scheduling algorithm was also used.An experiment was conducted based on JADE and JGAP to testify this approach.Simulation result showed that the method was effective.

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What this paper is about

In order to satisfy the multi-QoS requirement of the users in the manufacturing grid scheduling,a flexible and robust negotiation mechanism and scheduling algorithm were needed.Therefore a multi-agent based scheduling approach for the manufacturing grid was proposed.Contract net protocol for multi-agent cooperation and negotiation mechanism were employed,and then a genetic algorithm as scheduling algorithm was also used.An experiment was conducted based on JADE and JGAP to testify this approach.Simulation result showed that the method was effective.

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Available abstract

In order to satisfy the multi-QoS requirement of the users in the manufacturing grid scheduling,a flexible and robust negotiation mechanism and scheduling algorithm were needed.Therefore a multi-agent based scheduling approach for the manufacturing grid was proposed.Contract net protocol for multi-agent cooperation and negotiation mechanism were employed,and then a genetic algorithm as scheduling algorithm was also used.An experiment was conducted based on JADE and JGAP to testify this approach.Simulation result showed that the method was effective.

Key concepts: Computer science, Grid, Distributed computing, Scheduling (production processes), Fair-share scheduling, Contract Net Protocol, Genetic algorithm scheduling, Negotiation

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