这篇文章探索短期依赖(SRD ) 和 fractal-binomial-noise-driven Poissonprocess (FBNDP ) 产生的自我类似的交通的 long-rangedependence (LRD ) 当模特儿并且在前者上放强调。由模拟,有林中小丘价值和山峰的增加的腐烂的趋势评估的 SRD 分别地被获得。在自我类似紧张的精确性的全面分析以后,山峰率的最佳的范围被考虑时间费用,自我类似紧张的精确性,和 SRD 的效果决定。
This article explores the short-range dependence (SRD) and the long-range dependence (LRD) of self-similar traffic generated by the fractal-binomial-noise-driven Poisson process (FBNDP) model and lays emphasis on the former. By simulation, the SRD decaying trends with the increase of Hurst value and peak rate are obtained, respectively. After a comprehensive analysis of accuracy of self-similarity intensity, the optimal range of peak rate is determined by taking into account the time cost, the accuracy of self-similarity intensity, and the effect of SRD.