TY - JOUR
T1 - Network traffic model
T2 - A case of BIUST network
AU - Solomon, Thato
AU - Zungeru, Adamu Murtala
AU - Selvaraj, Rajalakshmi
AU - Mangwala, Mmoloki
AU - Chuma, Joseph
N1 - Publisher Copyright:
© 2017 Thato Solomon, Adamu Murtala Zungeru, Rajalakshmi Selvaraj, Mmoloki Mangwala and Joseph Chuma.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Network traffic model and analysis provides the average load, bandwidth requirements and the different application of the available bandwidth for a particular network, in addition to several other details of the network. 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.
AB - Network traffic model and analysis provides the average load, bandwidth requirements and the different application of the available bandwidth for a particular network, in addition to several other details of the network. 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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U2 - 10.3844/jcssp.2017.218.227
DO - 10.3844/jcssp.2017.218.227
M3 - Article
AN - SCOPUS:85026787228
SN - 1549-3636
VL - 13
SP - 218
EP - 227
JO - Journal of Computer Science
JF - Journal of Computer Science
IS - 7
ER -