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Design of an artificial-neural-network-based application-oriented grid resource discovery service

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3 Author(s)
Hao-peng Chen ; Sch. of Software, Shanghai Jiao Tong Univ., China ; Jian-wei Jiang ; Bao-wen Zhang

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.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:4 )

Date of Conference:

26-29 Aug. 2004