CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION - Problems of Information Technology

CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION - Problems of Information Technology

CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION - Problems of Information Technology

CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION - Problems of Information Technology

CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION - Problems of Information Technology
CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION - Problems of Information Technology
AZERBAIJAN NATIONAL ACADEMY OF SCIENCES

№1, 2016

CALCULATION CHARACTERISTICS OF THE SELF-SIMILAR TRAFFIC APPROXIMATED BY THE WEIBULL DISTRIBUTION

Anatoliy G. Lozhkovskiy, Ehtiram I. Kerimov, Oleq V. Verbanov

The article studies the methods to improve the accuracy of calculation of the characteristics of service quality in the networks with self-similar traffic through more precise location Hurst coefficient depending on the parameters of Weibull distribution form. Since the self-similar traffic (time interval between the requests) best describes the Weibull distribution, it is provided a new formula for the calculation of the self-similarity coefficient of traffic. The calculation of the characteristics of service quality can be performed based on the Norros formula, which is valid for the model fBM/D/1/∞. (pp. 23-27)

Keywords: telecommunication systems and networks, calculation and projecting methods, self-similar traffic, Weibull distribution
DOI : 10.25045/jpit.v07.i1.03
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