Artificial Neural Network Non-linear Auto Regressive Moving Average (NARMA) Model for Internet Traffic Prediction

Authors

  • Mohd Naqiuddin Sahrani Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Malaysia
  • Md Mahfudz Mat Zan Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Malaysia
  • Ihsan Mohd Yassin Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Malaysia
  • Azlee Zabidi Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Malaysia
  • Megat Syahirul Amin Megat Ali Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam, Malaysia

Keywords:

Network Traffic Prediction, Nonlinear AutoRegressive Moving Average (NARMA), System Identification, Forecasting,

Abstract

The technology of computing and network communication is undergoing rapid development, leading to increasing number of applications and services being available online. As more applications are available online, network traffic becomes a significant problem as high network loads may limit access to users. In this paper, we propose an internet traffic Nonlinear Auto-Regressive Moving Average model (NARMA) prediction model to assist network managers in forecasting internet traffic and planning their resources accordingly. The Multi-Layer Perceptron (MLP) estimator was used in this paper. The performance of the model were evaluated using Mean Squared Error (MSE), correlation tests, and residual histogram tests with good agreement between the model and actual outputs.

Downloads

Published

2017-03-15

How to Cite

Sahrani, M. N., Mat Zan, M. M., Mohd Yassin, I., Zabidi, A., & Megat Ali, M. S. A. (2017). Artificial Neural Network Non-linear Auto Regressive Moving Average (NARMA) Model for Internet Traffic Prediction. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-3), 145–149. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1760

Issue

Vol. 9 No. 1-3: Smart City Technology in Communication and Computer Engineering I

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.