Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Analysis of statistical characteristics of the communication information in the computer networks

Hnatushenko V.1, Vladimirska N.1
1 National Metallurgical Academy of Ukraine

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UDC: 004.7:519.2
Publication Language: Ukrainian
Stuc. intelekt. 2015; 20(1-2):20-26

Abstract: The article considers the problem of analyzing the statistical characteristics of communication information in computer networks based on the theory of fractal traffic. Found self-similar dependence of the processes of information flow on the basis of experimental data. For the analysis of long-term dependence of the time series used mathematical methods to forecast fractal dependencies using Hurst.

Keywords: statistical characteristics, traffic self-similarity analysis.

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