Study of the Characters of Self-Similar Traffic Stream Generated by High-Speed RMD Method
Xing Liu · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2001
The conventional models are mostly based on Poisson models or their improved versions.It is assumed that the distribution of burst length is exponential. Recent traffic analyses of a lot of networks have shown that many traffic sources produce traffic streams that are self_similar over several time scales. This character has severe impact on flow control and queuing analysis in broadband networks. A self_similar traffic stream generator using a high_speed RMD algorthm has been implemented. The Hurst parameters are estimated for those self_similar traffic streams from the generator and several superposed self_similar traffic streams.The autocorrelation structure of the self_similar traffic is destroyed by shuffling algorithm.