Title: Method and device for selecting grid executors via a neural network
Application Number: 200610067804 Application Date: 2006.03.13
Publication Number: 1869965 Publication Date: 2006.11.29
Approval Pub. Date: Granted Pub. Date:
International Classifi-cation: G06F15/00,G06N3/02
Applicant(s) Name: IBM Address:
Inventor(s) Name: Baartman Randall P., Branda Steven J., Duggirala S
Attorney & Agent: wu lili
Abstract:
     A method, apparatus, system, and signal-bearing medium that, in an embodiment, send units of work to grid executors, create training data based on the performance of the grid executors, and train a neural network via the training data. The training data includes pairs of input and output data, where the input data is the types of the units of work and the output data is the service strengths of the grid executors. Once the neural network has been trained, subsequent units of work have their grid executors selected by inputting the types of the units of work to the neural network and receiving a service strength from the neural network as output. The grid executors are then selected based on the output service strength from the neural network. In this way, in an embodiment, the grid performance may be increased.
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