Comparative analysis of Ethernet traffic statistical characteristics evaluation methods

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A.V. Korablev, State Higher Educational Institution “National Mining University”, Assistant Lecturer of the Department of Electronics and Computing Techniques, Dnіpropetrovsk, Ukraine

A.V. Serov, State Higher Educational Institution “National Mining University”, Assistant Lecturer of the Department of Electronics and Computing Techniques, Dnіpropetrovsk, Ukraine


Purpose. To find out Ethernet self-similar traffic frame size statistical distribution and give some recommendations concerning use of different methods of traffic probability characteristics estimation.

Methodology. An authentic research methodology has been presented. Aggregation procedure of initial data unification according to time scale constant step was put in its base. Traffic distribution further analysis and its characteristics estimation with different time interval lengths was carried out. Three ways of frame size distribution shape parameter evaluation were tested. Four approaches were applied to Hurst parameter estimation.

Findings. Tail index and Hurst parameter estimation results are presented.

Originality consists in self-similar traffic characteristics estimation methods analysis that allowed choosing the most effective method and giving recommendations concerning its usage.

Practical value. Recommendations on definite estimation method choice are given.


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Guda, A.N., Butakova, M.A. and Moskat, N.A. (2010), “Telecommunication traffic parameters estimation models in automated information-management systems”, Voprosy sovremennoy nauki i praktiki, Published by V.I. Vernadsky University, no.4–6(29), pp. 71–87.

Date 2013-04-26 Filesize 365.22 KB Download 1350


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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.


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