Purnawansyah and Haviluddin and Rayner Alfred and Achmad Fanany Onnlita Gaffar (2018) Network traffic time series performance analysis using statistical methods. Knowledge Engineering and Data Science (KEDS), 1 (1). pp. 1-7. ISSN 2597-4602 (P-ISSN) , 2537-4637 (E-ISSN)
![[img]](https://eprints.ums.edu.my/style/images/fileicons/text.png) |
Text
Network traffic time series performance analysis using statistical methods-Abstract.pdf Download (57kB) |
|
Text
Network traffic time series performance analysis using statistical methods.pdf Restricted to Registered users only Download (605kB) | Request a copy |
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.
| Item Type: | Article |
|---|---|
| Keyword: | Decomposition , Winter’s exponential smoothing , ARIMA , Additive , Multiplicative |
| Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | DG MASNIAH AHMAD - |
| Date Deposited: | 23 Jul 2021 11:36 |
| Last Modified: | 23 Jul 2021 11:36 |
| URI: | https://eprints.ums.edu.my/id/eprint/30048 |
Actions (login required)
 |
View Item |