MATHEMATICAL ANALYSIS OF TRAFFIC FLOW BEHAVIOUR OF THE INTERNET AT GHANA TECHNOLOGY UNIVERSITY COLLEGE

Abstract

This paper analyses the internet traffic flows behaviour at Ghana Technology University College campus network. Internet traffic is a flow of data across the internet. This flow exhibit certain behaviour in accordance with Probability distribution.  Statistical analysis was performed to understand the characteristic of traffic population. Empirical cumulative distribution process (CDF) together with essential statistical parameters were benchmarked. Goodness of Fit (GOF) test using Anderson-Darling (AD) estimation method was applied to establish the best probability distribution model which describes the situation alongside with Probability plot. The N-Flow traffic model was used to determine the burstiness of internet traffic in finite session. The Empirical and Theoretical CDF graph was used to determine the discrepancies’ between them. At the end it was discovered that the data best fit normal distribution

Keywords: internet traffic, statistical analysis, cumulative distribution function, maximum probability plot, anderson-darling, normal distribution, poisson distribution, exponential distribution.