Investigation of self-similar nature of video streaming traffic in corporate network

In this work, a model of the corporate network had been developed, simulated and implemented using an optimized network engineering tool in a simulation area of 1.5 × 1.5 km enterprise topology network to stream video between each other. Total of 14,670 video traffic (traffic load) is streamed from different sources and destinations at random. The video streaming traffic is monitored, analyzed in view of identifying traffic self-similarity in the network. The results of the analysis show that video traffic is highly self-similar in the network using Abry-Veitch and smoothing algorithms method. The effect of self-similarity in the network is reduced with the help of 1D wavelet technique.