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This paper puts forward a design of artificial-neural-network-based (ANN-based) application-oriented grid resource discovery service to enable users to dynamically discover the grid resources which are suitable for their applications. The core of this service is an ANN-based grid resource classifier, which periodically accesses the metacomputing directory service and dynamically classifies the grid resources into application-oriented categories according to the real-time state of grid computing environment Users can invoke this service and pass the application type as a parameter to discover the current most suitable grid resources. Grid resource allocation manager also can interact with this service to improve its practicability and efficiency.
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on (Volume:4 )
Date of Conference: 26-29 Aug. 2004