Adaptive resource allocation using neural networks

Details Adaptive resource allocation using neural networks Adaptive resource allocation using neural networks

1995-05-31

1998-04-28

Hafiz, Tariq R.

Boots, shoes, and leggings

395 21, 395 23, 364150, 364152, G06E 100, G06E 300, G06F 1518, G06G 700

Patent

active

057456526

ABSTRACT:
In a system comprising a plurality of resources for performing useful work, a resource allocation controller function, which is customized to the particular system's available resources and configuration, dynamically allocates resources and/or alters configuration to accommodate a changing workload. Preferably, the resource allocation controller is part of the computer's operating system which allocates resources of the computer system. The resource allocation controller uses a controller neural network for control, and a separate system model neural network for modelling the system and training the controller neural network. Performance data is collected by the system and used to train the system model neural network. A system administrator specifies computer system performance targets which indicate the desired performance of the system. Deviations in actual performance from desired performance are propagated back through the system model and ultimately to the controller neural network to create a closed loop system for resource allocation.

REFERENCES:
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patent: 5325525 (1994-06-01), Shan et al.
patent: 5485545 (1996-01-01), Kojima et al.
Joseph P. Bigus, "Adaptive Operating System Control Using Neural Networks," A Dissertation Presented to the Graduate Committee of Lehigh University in Candidacy for the Degree of Doctor of Philosophy in Computer Science, May 1993.

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