Dhaka University Journal of Applied Science & Engineering

The main goal of this work was to study and analyze the network data traffic of the University of Dhaka and to estimate the Hurst parameter to assess the degree of self similarity in the data traffic. For this verification a number of tests and analyses were performed on the data collected from the University Gateway router. The conclusions were supported by a rigorous statistical analysis of 75 millions of data packets of high quality Ethernet traffic measurements collected between Aug ’07 and March ’08 and the data were analyzed using both visual and statistical experimentation. Busy hour traffic and non-busy hour traffic, both were considered. All the program codes were written using MATLAB and can be used as an excellent tool to determine the degree of self-similarity in a network’s data traffic.

1. ref1