通信学报 ›› 2014, Vol. 35 ›› Issue (1): 7-15.doi: 10.3969/j.issn.1000-436x.2014.01.002

• 学术论文 • 上一篇    下一篇

基于链路重构—解构的端到端网络链路时延推测研究

梁永生1,2,高波1,邹粤1,2,张基宏1,2,张乃通3   

  1. 1 深圳信息职业技术学院 可视媒体处理与传输深圳市重点实验室,广东 深圳 518172
    2 深圳大学 信息工程学院,广东 深圳 518060
    3 哈尔滨工业大学 电子与信息工程学院,黑龙江 哈尔滨 150001
  • 出版日期:2014-01-25 发布日期:2017-06-17
  • 基金资助:
    国家自然科学基金资助项目;广东省自然科学基金资助项目;广东省高等职业院校珠江学者岗位计划资助项目;深圳市基础研究计划——杰出青年基金资助项目

Research on end-to-end network link delay inference based on link reconstruction-destruction

Yong-sheng LIANG1,2,Bo GAO1,Yue ZOU1,2,Ji-hong ZHANG1,2,Nai-tong ZHANG3   

  1. 1 Shenzhen Key Lab of Visual Media Processing and Transmission,Shenzhen Institute of Information Technology,Shenzhen 518172,China
    2 College of Information Engineering,Shenzhen University,Shenzhen 518060,China
    3 School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China
  • Online:2014-01-25 Published:2017-06-17
  • Supported by:
    The National Natural Science Foundation of China;The Natural Science Foundation of Guangdong Province;Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar Funded Scheme;Shenzhen Foundation for Distinguished Young Scientists

摘要:

基于网络时延推测的2个假设、时延推测模型和路径时延数据采集方法,提出了一种基于链路重构—解构的端到端网络链路时延推测方法,应用伪似然估计将原整体问题分解为若干独立子问题分别求解,利用链路重构—解构确定可求解的推测单元,控制平均采样精度和减少推测单元链路数,从而显著降低计算复杂度。通过基于模型的计算和基于NS2的仿真实验研究,验证了推测方法的准确性和有效性。

关键词: 网络链路时延, 时延推测模型, 伪似然估计, 链路重构—解构

Abstract:

Based on two assumptions,inference model and end-to-end delay data acquisition,an approach to end-to-end network internal link delay inference based on link reconstruction-deconstruction (LRD) was proposed.Pseudo likelihood estimation (PLE) was adopted and the inference problem was divided into independent sub-problems.Inference units with definite solution are determined by LRD.By means of controlling average sampling precision and decreasing inference unit links,the computation complexity of link delay inference was significantly lowered.Experimental study was performed based on model computation and NS2 simulation platform.Theoretical analysis and experimental results show that the approach is accurate and effective.

Key words: network link delay, delay inference model, pseudo likelihood estimation, link reconstruction-deconstruction

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