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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2017 Vol.7(5): 136-140 ISSN: 2010-3719
doi: 10.18178/ijiee.2017.7.5.677

A Packet Distribution Traffic Model for Industrial Application: A Case of BIUST Network

Thato Solomon, Adamu Murtala Zungeru, Rajalakshmi Selvaraj, and Mmoloki Mangwala
Abstract—Mathematical modelling is by and large comprehended as the way toward applying mathematics to real world problems with a perspective comprehension of the last mentioned. This paper presents mathematical model used for modelling real world problems using Botswana International University of Science and technology (BIUST) network traffic as a case. Sophisticated analysis of data is done to model the BIUST network with the succor of statistics, as it implies the collection and interpretation of data through mathematical processes called stochastic processes. From the attained results, the model and estimation of packet traffic distribution for BIUST Network based on Pareto distribution, it was perceived that about 20% of the users had about 80% of the bandwidth consumed.

Index Terms—Mathematical modelling, mathematics, mathematical models, mathematical processes, stochastic processes, packet traffic distribution, Pareto distribution.

T. Solomon, R. Selvaraj, and M. Mangwala are with the Department of Computer Science and Information Systems, Botswana International University of Science and Technology, Palapye, Botswana (e-mail: solomont@ biust.ac.bw, selvarajr@ biust.ac.bw, mangwalam@biust.ac.bw).
A. M. Zungeru is with the Department of Electrical, Computer and Telecommunication Engineering, Botswana International University of Science and Technology, Palapye, Botswana (e-mail: zungerum@biust.ac.bw).

[PDF]

Cite: Thato Solomon, Adamu Murtala Zungeru, Rajalakshmi Selvaraj, and Mmoloki Mangwala, "A Packet Distribution Traffic Model for Industrial Application: A Case of BIUST Network," International Journal of Information and Electronics Engineering vol. 7, no. 5, pp. 136-140, 2017.

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