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Information × Registration Number 0220U103669, 0119U103659 , R & D reports Title Predicting characteristics of self-similar traffic popup.stage_title Head Lozhkovskyi Anatolii H., Доктор технічних наук Registration Date 03-11-2020 Organization O.S. Popov Odessa National Academy of Telecommunications popup.description2  To predict self-similar proponation traffic, the spline-extrapolation method is based on different spline functions (linear, cubic and cubic B-splines). The stagnation of the spline-extrapolation method made it possible to predict self-similar traffic in the posture of the analyzed interval for an hour, in which the transmission of packet tributes could be seen. Extrapolation of traffic for short-line and pre-line forecasts is displayed. Product Description popup.authors Verbanov Oleg V. Lozhkovskyi Anatolii H. Solovska Iryna M. Strukalo Mikhailo I popup.nrat_date 2020-11-03 Close