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).
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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.
