Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model

YU Li; BAI Yun; ZHU Guang-xi

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Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model

更新时间：2024-10-14

- Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model
- Vol. 31, Issue 5, Pages: 16-21(2010)
- 作者机构：
  
  华中科技大学武汉光电国家实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN915.06
- Published：2010
- 稿件说明：
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YU Li, BAI Yun, ZHU Guang-xi. Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model[J]. 2010, 31(5): 16-21.
DOI：

YU Li, BAI Yun, ZHU Guang-xi. Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model[J]. 2010, 31(5): 16-21. DOI：

摘要

基于线形分形稳定噪声(LFSN)的网络业务流模型可以很好地描述流量的自相似和重尾特性

对这种模型的随机突发边界进行理论推导

得出较现有文献更为普遍的结论

尤其是其随机上界更为精确

因此在随机网络演算分析中有着重要意义。同时基于对一般LFSN过程的快速模拟

设计了一种独特的实验方法

得到突发边界随机分布的估计值

验证了理论推导的正确性。

Abstract

A stochastic burstiness boundary of general LFSN（linear fractional stable noise）-based traffic model

which is an important model that has been proven capable to capture both properties of self-similar and heavy tailed

was derived.The final result is much more general than the current one

especially for the upper boundary which is also more accurate.Meanwhile

a unique experiment based on fast simulation of general LFSN process was set up to get an estimation result for actual distribution

which in turn proved theoretical derivation correct.

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