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

Thato Solomon; Adamu Murtala Zungeru; Rajalakshmi Selvaraj; Mmoloki Mangwala

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, Mmoloki Mangwala

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	136-140
Journal	International Journal of Information and Electronics Engineering
Volume	7
Issue number	5
DOIs	https://doi.org/10.18178/ijiee.2017.7.5.677
Publication status	Published - 2017

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10.18178/ijiee.2017.7.5.677

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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",

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

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