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

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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.
Original languageEnglish
Pages (from-to)136-140
JournalInternational Journal of Information and Electronics Engineering
Volume7
Issue number5
DOIs
Publication statusPublished - 2017

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Industrial applications
Random processes
Statistics
Mathematical models
Bandwidth

Cite this

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title = "A Packet Distribution Traffic Model for Industrial Application: A Case of BIUST Network",
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.",
author = "Thato Solomon and Zungeru, {Adamu Murtala} and Rajalakshmi Selvaraj and Mmoloki Mangwala",
year = "2017",
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journal = "International Journal of Information and Electronics Engineering",
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AB - 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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