[1]齐小刚,牛红曼,刘兴成,等.多层信息网络故障定位综述[J].智能系统学报,2019,14(1):44-56.[doi:10.11992/tis.201804062]
QI Xiaogang,NIU Hongman,LIU Xingcheng,et al.Survey of fault localization in multilayer information networks[J].CAAI Transactions on Intelligent Systems,2019,14(1):44-56.[doi:10.11992/tis.201804062]
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QI Xiaogang,NIU Hongman,LIU Xingcheng,et al.Survey of fault localization in multilayer information networks[J].CAAI Transactions on Intelligent Systems,2019,14(1):44-56.[doi:10.11992/tis.201804062]
多层信息网络故障定位综述
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
14
期数:
2019年第1期
页码:
44-56
栏目:
综述
出版日期:
2019-01-05
- Title:
- Survey of fault localization in multilayer information networks
- Keywords:
- multilayer network; fault management; fault diagnosis; fault localization; fault propagation model; node fault; link fault; virtual network; overlay network
- 分类号:
- TP393
- 摘要:
- 本文对多层网络（覆盖网、虚拟网等）故障定位问题进行了分析和总结。讨论了多层网络探测故障信息获取策略和故障定位模型的发展状况，即介绍了被动监测、主动探测、主被动结合探测和终端用户观察等探测信息获取策略，以及基于图论故障传播模型、依赖矩阵模型、症状-故障-行动模型等故障传播模型的原理以及其优缺点。从故障定位模型、探测信息获取策略、故障定位计算、网络异构性、运行效率与成本多个方面重点综述了多层网络故障定位方法，讨论了每种方法的优点和局限性。最后，对多层网络故障定位研究的不足和亟待进一步研究解决的问题进行了探讨。
- Abstract:
- This study analyzes and summarizes the problems of fault localization in multilayer networks (e.g., overlay network and virtual network). First, the latest developments in fault detection information acquisition technologies and fault localization models for multilayer network are discussed. The detection information acquisition technologies for passive monitoring, active detection, active-passive detection, and end-user observation are introduced, as well as the fault localization models such as dependency matrix model, graph-based propagation model, and symptom-fault-action model. The principles, advantages, and disadvantages of these technologies and models are presented as well. The methods of multilayer network fault localization are summarized, considering fault localization strategy model, fault detection calculation technique, network heterogeneity, operational efficiency, and cost, and then the merits and demerits of each method are highlighted. Finally, some pressing issues that need further study are discussed.
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备注/Memo
收稿日期:2018-04-28。
基金项目:国家自然科学基金项目（61572435，61472305，61473222）；宁波市自然科学基金项目（2016A610035，2017A610119）；复杂电子系统仿真重点实验室基础研究基金项目（DXZT-JC-ZZ-2015-015）.
作者简介:齐小刚,男,1973年生,教授,博士生导师,主要研究方向为复杂系统网络建模与仿真,网络优化与算法设计;牛红曼,女,1991年生,硕士研究生,主要研究方向为面向信息网络的快速故障诊断方法;刘兴成,男,1992年生,硕士研究生,主要研究方向为组合探测。
通讯作者:牛红曼.E-mail:1450772363@qq.com
更新日期/Last Update:
1900-01-01