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Self-similar traffic discrimination and generating methods based on fractal Brown motion
ZHANG Xueyuan WANG Yonggang ZHANG Qiong
Journal of Computer Applications    2013, 33 (04): 947-949.   DOI: 10.3724/SP.J.1087.2013.00947
Abstract700)      PDF (583KB)(470)       Save
To deal with the difficulties of lacking the discrimination method of network's traffic self-similarity and producing negative traffic based on classical Fractal Brown Motion (FBM), a discrimination method was proposed based on multiple order moment and a generation method was provided based on modified FBM model. Firstly, the mathematical formula of sample moment was studied. The discrimination method of self-similarity traffic was obtained on account of fractal moment analysis. Secondly, the classical Random Midpoint Displacement (RMD) algorithm was modified. At last, taking account of the real traffic of Bellcore and LBL, the discrimination method and generation method were given. The comparison of the simulation results with the actual experimental data proves that the method is feasible.
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