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基于FBNDP自相似业务源建模
引用本文:张帝,吕召彪. 基于FBNDP自相似业务源建模[J]. 中国电子科学研究院学报, 2006, 1(4): 332-335
作者姓名:张帝  吕召彪
作者单位:北京邮电大学光通信与光波技术教育部重点实验室,北京,100876;北京邮电大学光通信与光波技术教育部重点实验室,北京,100876
摘    要:基于分形二项噪音驱动泊松过程(FBNDP)动态原理,我们构建了其仿真模型并进行多次仿真实验,提示了FBNDP模型采样数据轨迹的表面现象,并用R/S法和时间方差法对其自相似强度进行分析计算;另外,自相似过程的非退化自相关结构特性得到图形化验证.

关 键 词:自相似性  分形二项噪音驱动泊松过程  分形点过程
文章编号:1673-5692(2006)04-332-04
收稿时间:2006-01-10
修稿时间:2006-08-02

Modeling of Self-Similar Traffic Source Based on Fractal-Binomial-Noise-Driven Poisson Process
ZHANG Di,LV Zhao-biao. Modeling of Self-Similar Traffic Source Based on Fractal-Binomial-Noise-Driven Poisson Process[J]. Journal of China Academy of Electronics and Information Technology, 2006, 1(4): 332-335
Authors:ZHANG Di  LV Zhao-biao
Abstract:Based on the dynamics of the fractal-binomialnoise-driven Poisson process(FBNDP),its self-similar traffic source is modeled and simulations are conducted.After analyzing the implication of surface phenomenon of the FBNDP-based traffic,we have evaluated its Hurst parameter with the R/S and variance-time estimators and present the pictorial proofs of the self-similarity.Besides,the non-degenerate structure of autocorrelation function,one of the essential properties of self-similar process,is successfully illustrated.
Keywords:Self-Similarity   Fractal-Binomial-Noise-Driven Poisson Process   Fractal Point Process
本文献已被 CNKI 维普 万方数据 等数据库收录!
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