Mathematical Models of Time Series of Intensities of Network Traffic with Different Approaches to Their Creating

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In this article the possibility of application of artificial neural networks and autoregressive analysis to creating prediction models the channel with packet data transfer describes. The problem is solved using example time row measurement intensities on port edge switch. Algorithm of building autoregressive models based on statistical analysis of time row measurements. Algorithm of neural network model on the basis of the definition of fractal dimension of time rows was shown. Built models compared to current values entered criteria for evaluating the accuracy of the prediction.

About the authors

A A Gabdrakhmanov

CJSC "Samara-Transtelecom"

CJSC "Samara-Transtelecom"

N T Gabdrakhmanova

Peoples Friendship University of Russia

Peoples Friendship University of Russia


Copyright (c) 2012 Габдрахманов А.А., Габдрахманова Н.Т.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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