网络诊断技术研究综述

许晓佳; 王永才; 李德英

doi:10.11959/j.issn.2096-6652.202316

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网络诊断技术研究综述

综述与展望 | 更新时间：2024-04-04

- 网络诊断技术研究综述
- A survey on network tomography technology
- 智能科学与技术学报 2023年5卷第2期页码：163-179
- 作者机构：
  
  1. 中国人民大学信息学院，北京 100872
  2. 警务物联网应用技术公安部重点实验室，北京 100048
- 作者简介：
  
  [ "许晓佳（1998- ），女，中国人民大学信息学院博士研究生，主要研究方向为算法设计与分析、无线网络和图算法与应用。" ]
  [ "王永才（1978- ），男，博士，中国人民大学信息学院副教授、博士生导师，主要研究方向为智能网络、组合优化算法与应用。" ]
  [ "李德英（1965- ），女，博士，中国人民大学信息学院教授、博士生导师，主要研究方向为无线网络、移动计算和算法设计与分析。" ]
- 基金信息：
  
  国家自然科学基金项目;The National Natural Science Foundation of China(61972404);国家自然科学基金项目;The National Natural Science Foundation of China(12071478)
- DOI：10.11959/j.issn.2096-6652.202316
  中图分类号： TP393
- 修回：2023-03-24，
  
  网络首发：2023-06，
  
  纸质出版：2023-06-15
- 稿件说明：
移动端阅览
许晓佳, 王永才, 李德英. 网络诊断技术研究综述[J]. 智能科学与技术学报, 2023,5(2):163-179.

Xiaojia XU, Yongcai WANG, Deying LI. A survey on network tomography technology[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 163-179.
许晓佳, 王永才, 李德英. 网络诊断技术研究综述[J]. 智能科学与技术学报, 2023,5(2):163-179. DOI： 10.11959/j.issn.2096-6652.202316.

Xiaojia XU, Yongcai WANG, Deying LI. A survey on network tomography technology[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 163-179. DOI： 10.11959/j.issn.2096-6652.202316.

摘要

网络诊断是一种高效且方便的通过端到端路径的性能测量来推断网络内部状态的方法，在有线和无线网络的链路测量和故障定位中得到了广泛应用。对网络诊断的4种基础模型布尔网络诊断技术、可加网络诊断技术、带宽网络诊断技术、随机网络诊断技术的模型基础进行了总结分析。系统梳理了网络诊断技术中的关键问题，主要包括监视器放置、信标服务放置、路径构建和数据分析、网络诊断中可识别性，以及不保证识别性时的网络诊断攻击等。同时梳理了基于网络编码的网络诊断、基于神经网络的网络诊断和网络功能虚拟化中节点故障定位等网络诊断领域的新研究和新问题。最后，基于网络诊断技术的发展现状，分析探讨了未来网络诊断技术的发展趋势。

Abstract

Network tomography is an efficient and convenient tool to infer the internal state of a network through end-toend path measurement.It has been widely used in link measurement and fault location of wired and wireless networks.This paper summarized and analyzed the model foundation of four basic models of network tomography

boolean network tomography technology

additive network tomography technology

bandwidth network tomography technology and the stochastic network tomography technology.This paper systematically combed the key problems in network tomography technology

including monitor placement

beacon and service placement

path construction and data analysis

the problem of identifiability

and attack in network tomography when identification was not guaranteed.At the same time

the new research and new problems in the field of network tomography such as network tomography with network coding

neural network tomography and node fault location method in NFV were sorted out.Finally

based on the development status of network tomography technology

the future development trend of network tomography was analyzed and discussed.

关键词

Keywords

references

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