Kremenetskyi G. Methods and tools of load balancing in computational networks with neurons systems models usage

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0404U003637

Thesis Registration Form

0404U003637.pdf

Applicant for

Specialization

  • 05.13.13 - Обчислювальні машини, системи та мережі

15-10-2004

Specialized Academic Board

Д 26.062.07

National Aviation University

Essay

The dissertation is devoted to load balancing efficiency decreasing in computational network. The load balancing method in computational networks is proposed in the dissertation, which differs from existing ways by application of artificial neural networks. I use neural system model for this purpose which is learned on data obtained as parameters of task computation result. After learning neural system model can predict task computation time, which is used as minimum server load criteria choice.

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Files

AREF.doc

disser.doc

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