Data set request allocations to computers

Data processing: database and file management or data structures – Database and file access – Record – file – and data search and comparisons

Reexamination Certificate

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C706S015000, C706S025000, C706S039000

Reexamination Certificate

active

07730086

ABSTRACT:
A method of allocation a computer to service a request for a data set in a system having a plurality of computers. The method is implemented on a neural network having only an input layer having input nodes and an output layer having output nodes, where each output node is associated with a specific computer. Connecting the input nodes to the output nodes are weights w(j,k). The method includes the steps of receiving a request for data set “I” and inputting to the input layer a vector R(I)dependent upon the number of requests for the requested data over a predetermined period of time andselecting a computer assignment associated with of one of the output nodes to service the data request, where the output node selected is associated with a specific weight selected to minimize a predetermined metric measuring the distance between the vector entry R(I) and the weights(I,k).

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Nageswara S.V. Rao, Vladimar Protopopescu, Reinhold C. Mann, E.M. Oblow and S. Sitharama Iyengar; “Learning Algorithms for Feedforward Networks Based on Finite Samples”; Jul. 1996; IEEE Transactions on Neural Networks, vol. 7, No. 4; pp. 926-940.
Vir V. Phoha and William J.B. Oldham; “Image Recovery and Segmentation Using Competitive Learning in a Layered Network”; Jul. 1996; IEEE Transactions on Neural Networks, vol. 7, No. 4; pp. 843-856.
Vir Virander Phoha; “Image Recovery and Segmentation Using Competitive Learning in a Computational Network”; Dec. 1992; A Dissertation.

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