Network traffic time series performance analysis using statistical methods

Network traffic time series performance analysis using statistical methods

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 sm...

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Bibliographic Details
Main Authors: Purnawansyah, Haviluddin, Rayner Alfred, Achmad Fanany Onnlita Gaffar
Format: Article
Language:English
English
Published: Universitas Negeri Malang 2018
Subjects:
QA Mathematics
TK Electrical engineering. Electronics Nuclear engineering
Online Access:https://eprints.ums.edu.my/id/eprint/30048/2/Network%20traffic%20time%20series%20performance%20analysis%20using%20statistical%20methods-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/30048/1/Network%20traffic%20time%20series%20performance%20analysis%20using%20statistical%20methods.pdf
https://eprints.ums.edu.my/id/eprint/30048/
http://journal2.um.ac.id/index.php/keds/article/view/1236
https://doi.org/10.17977/um018v1i12018p1-7
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Institution: Universiti Malaysia Sabah
Language: English
English
Description
Summary: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.

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