Network traffic forecasting based on the canonical expansion of a random process

Network traffic forecasting based on the canonical expansion of a random process

We studied the problem of forecasting network traffic in TCP/IP networks based on statistical observational data. We determined that existing protocols (SNMP, RMON) do not provide long-term forecasting, which is necessary for network upgrades. Regression methods (AR, ARMA, ARIMA, SARIMA), which are...

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Bibliographic Details
Main Authors: Vitalii Savchenko, Oleksander Matsko, Oleh Vorobiov, Yaroslav Kizyak, Larysa Kriuchkova, Yurii Tikhonov, Andrei Kotenko
Format: Article
Language:English
Published: PC Technology Center 2018-05-01
Series:Eastern-European Journal of Enterprise Technologies
Subjects:
network traffic
forecasting control
random process
canonical decomposition of a random process
Online Access:http://journals.uran.ua/eejet/article/view/131471

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