A new self-similar teletraffic generation arithmetic based on FGN and IDFT
Anfeng Liu · Journal of China Institute of Communications · 2004
Necessary self-similar teletraffic generation methods of simulating network traffic were studied, and a new arithmetic for generating self-similar teletraffic, based on fractional Gaussian noise (FGN) and inverse discrete Fourier transform (IDFT), was proposed and analysed in this paper. The statistical accuracy and complexity and time required to produce sequences of a given length were experimentally studied and comparatively analysed. This arithmetic shows a high level of accuracy of the generated self-similar teletraffic and is fast, and it provides the foundation for real network simulation.