Internet complex network separation degree analysis based on hops

SU Wei-ji; ZHAO Hai; XU Ye; ZHANG Wen-bo

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Internet complex network separation degree analysis based on hops

更新时间：2024-10-14

- Internet complex network separation degree analysis based on hops
- Issue 9, Pages: 1-8(2005)
- 作者机构：
  
  1. 东北大学信息科学与工程学院
  2. 东北大学信息科学与工程学院,辽宁,沈阳,110004
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.02
- Published：2005
- 稿件说明：
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SU Wei-ji, ZHAO Hai, XU Ye, et al. Internet complex network separation degree analysis based on hops[J]. 2005, (9): 1-8.
DOI：

SU Wei-ji, ZHAO Hai, XU Ye, et al. Internet complex network separation degree analysis based on hops[J]. 2005, (9): 1-8. DOI：

摘要

首先讨论了相同分割度对不同网络传播行为的影响

并以小世界网络为例讨论了不同分割度对相同网络传播行为的影响;定义了基于hops的Internet分割度

根据CAIDA提供的全球范围30个主要monitor5年以来采集的数据

对Internethops进行统计分析

并计算出Internet分割度

与国际该领域研究成果进行相比

更进一步揭示了Internet小世界效应的规律;针对hops与RTT进行了10种模型的回归分析

得出hops与RTT更符合幂函数关系及其关键参数

从统计上证明了Internet复杂网络传播行为的幂率关系

并以此建立了Internet分割度时间敏感性模型(ISTSDM);建立了针对Internet分割度的时间序列随机过程模型(MTSSPISD)

并以此讨论了Internet分割度的时间演化规律;最后利用模型ISTSDM和模型MTSSPISD对2008年北京奥运期间Internet分割度和IP层数据平均传播时间进行了预测。

Abstract

At the first the infection of the same separation degree to different network’s transmission was discussed

then the infection of different separation degree to same network’s transmission was discussed by giving an example of small world network; Internet separation degree based on hops was defined. Based on the data that were supported by 30 monitors of global Internet from CAIDA

Internet hops was analyzed by statistic

Internet separation degree was computed. Small world character of Internet was illustrated more amply than the other international research result in this field; Aim at hops and RTT

10 kinds regression analysis were done and a conclusion was draw that it more accords with power function between hops and RTT

the key parameters were found

which proved Internet complex network transmission is power function. Internet separation degree time sensitivity model （ISDTSM） was created; The model of time series stochastic process of Internet separation degree （MTSSPISD） was created

and then the time evolvement rule of Internet separation degree was discussed; At last

the Internet separation and average transmission time of IP level data during 2008 Beijing Olympic Game were forecast by using model ISDTSM and model MTSSPISD.

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