Network Traffic Prediction using ARIMA and Neural Networks Models
DOI:
https://doi.org/10.5755/j02.eie.11132Abstract
The network traffic prediction plays a fundamental role in network design, management, control and optimization. The self-similar and non-linear nature of traffic makes accurate prediction more difficult. This paper presents a view of models used for network traffic prediction using ARIMA and neural network models. Our experiments inspect the accuracy of k-step ahead prediction using ARIMA and neural network models. Ill. 11, bibl. 18 (in English; summaries in English, Russian and Lithuanian).
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