Predicting Self-Similar Traffic using Cubic B-Splines

Predicting Self-Similar Traffic using Cubic B-Splines

The problem of predicting the characteristics of self-similar traffic based on the extrapolation method using cubic B-splines is considered. The obtained prediction results will allow solving traffic control problems and foresee the necessary size of buffer devices of network objects, thereby allowi...

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Bibliographic Details
Published in:2019 3rd International Conference on Advanced Information and Communications Technologies (AICT) pp. 153 - 156
Main Authors: Strelkovskaya, Irina, Solovskaya, Irina, Makoganiuk, Anastasiya
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2019
Subjects:
cubic B-spline
Extrapolation
Forecasting
Mathematical model
predicting
Quality of service
self-similar traffic
Software
spline functions
Splines (mathematics)
Telecommunications
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Summary:The problem of predicting the characteristics of self-similar traffic based on the extrapolation method using cubic B-splines is considered. The obtained prediction results will allow solving traffic control problems and foresee the necessary size of buffer devices of network objects, thereby allowing them to avoid overloading and exceeding standard values of QoS characteristics.
DOI:10.1109/AIACT.2019.8847761