Using spline-extrapolation in the research of self-similar traffic characteristics
Завантаження...
Дата
2019
Автори
Стрелковська, Ірина Вікторівна
Стрелковська, І. В.
Стрелковская, Ирина Викторовна
Strelkovska, Iryna V.
Соловська, Ірина Миколаївна
Назва журналу
ISSN журналу
Назва тому
Видавець
Анотація
The problem of predicting self-similar traffic is considered, the solution of which modeling of self-similar traffic was per-
formed using the Simulink software package in MATLAB environment. For the simulation, the queuing system WB/M/1/K
with Weibull distribution was used. The use of the spline-extrapolation method made it possible to predict self-similar traffic
outside the considered period of time on which packet data transmission is considered. Extrapolation of traffic for short-term
and long-term forecasts is considered. Comparison of the results of the prediction of self-similar traffic using various spline
functions has shown that the accuracy of the forecast can be improved through the use of cubic splines. A method is proposed
for estimating the error of traffic prediction for each variant of traffic forecasting using linear, cubic splines. The results of
the research will allow you to perform effective traffic management with the support of quality characteristics, by providing
the required parameters of network hardware and software in order to avoid overloads in the network.
Бібліографічний опис
Strelkovska I. V. Using spline-extrapolation in the research of self-similar traffic characteristics / I. V. Strelkovska, I. M. Solovska // Journal ofelectrical engineering. – vol. 70 (2019). – №4. – Р. 310–316.
Ключові слова
self-similar traffic, quality of service, predicting, extrapolation, spline functions, the error of recovery, Research Subject Categories::TECHNOLOGY
Цитування
Strelkovska I. V. Using spline-extrapolation in the research of self-similar traffic characteristics / I. V. Strelkovska, I. M. Solovska // Journal ofelectrical engineering. – vol. 70 (2019). – №4. – Р. 310–316.