Search for: [Description = "This paper considers the problem of predicting self\-similar traffic with a significant number of pulsations and the property of long\-term dependence, using various spline functions. The research work focused on the process of modeling self\-similar traffic handled in a mobile network. A splineextrapolation method based on various spline functions \(linear, cubic and cubic B\-splines\) is proposed to predict selfsimilar traffic outside the period of time in which packet data transmission occurs. Extrapolation of traffic for short\- 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 B\-splines. The results allow to conclude that it is advisable to use spline extrapolation in predicting self\-similar traffic, thereby recommending this method for use in practice in solving traffic prediction\-related problems."]

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