Network Traffic Time Series Performance Analysisusing Statistical Methods

Authors

• Purnawansyah Purnawansyah, Universitas Muslim Indonesia, IndonesiaFollow
• Haviluddin Haviluddin, Universitas Mulawarman, IndonesiaFollow
• Rayner Alfred, Universiti Malaysia Sabah, MalaysiaFollow
• Achmad Fanany Onnlita Gaffar, Politeknik Negeri Samarinda, IndonesiaFollow

Abstract

This paper presents an approach for a network traffic characterization by using statistical techniques. These techniques are obtained using the decomposition, winter’s exponential smoothing and autoregressive integrated moving average (ARIMA). In this paper, decomposition and winter’s exponential smoothing techniques were used additive and multiplicative model. Then, ARIMA based-on Box-Jenkins methodology. The results of ARIMA (1,0,2) was shown the best model that can be used to the internet network traffic forecasting

First Page

1

Last Page

7

Recommended Citation

Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Alfred, Rayner; and Gaffar, Achmad Fanany Onnlita (2018) "Network Traffic Time Series Performance Analysisusing Statistical Methods," Knowledge Engineering and Data Science: Vol. 1: No. 1, Article 1.
DOI: https://doi.org/10.17977/um018v1i12018p1-7
Available at: https://citeus.um.ac.id/keds/vol1/iss1/1