Self-similar traffic generator: comparison between RMD and SRA methods
Linawati Linawati, Hassan Mehrpour · 2003
Many methods have been proposed as a self-similar traffic generator. Two of them are Rh4D (Random Midpoint Displacement) and SRA (Successive Random Addition), which are part of FGN (Fractional Gaussian Noise). A comparative study of RMD and SRA is then conducted and presented in this paper, based on its H-estimation and statistical analysis. The comparison results conclude that RMD can be implemented as a better self-similar traffic generator than SRA. These results can help in investigating and analyzing network performance for self-similar input.