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

Authors

  • Thato Solomon, Adamu Murtala Zungeru, Rajalakshmi Selvaraj, and Mmoloki Mangwala Author

Keywords:

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

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. 

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Published

03.09.2017

How to Cite

A Packet Distribution Traffic Model for Industrial Application: A Case of BIUST Network . (2017). International Journal of Information and Electronics Engineering, 7(5), 136-140. https://ijiee.org/index.php/ijiee/article/view/293