Self similarity analysis via fractional Fourier transform

Fractional Fourier transform is a generalization of ordinary Fourier transform and find applications in many areas that ordinary Fourier transform has found. In this study, a network traffic analysis via fractional Fourier transform is performed. This study aims to better evaluate self similarity of network traffic via using fractional Fourier transform. Due to their high self similarity degrees, real IPv6 packet traffic is used for the analysis. We also perform analysis with an exact self similar process, fractional Gaussian noise to compare the results.