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基于被动测量的网络故障诊断
引用本文:黄鹂声,汪文勇,李常春,兰云海.基于被动测量的网络故障诊断[J].中国通信学报,2012,9(5):64-74.
作者姓名:黄鹂声  汪文勇  李常春  兰云海
摘    要:

收稿时间:2012-07-03;

Network Fault Analysis from Passive Measurement
Huang Lisheng,Wang Wenyong,Li Changchun,Lan Yunhai.Network Fault Analysis from Passive Measurement[J].China communications magazine,2012,9(5):64-74.
Authors:Huang Lisheng  Wang Wenyong  Li Changchun  Lan Yunhai
Affiliation:1School of Computer Science and Engineering, University of Electronic Science & Technology of China, Chengdu 610054, P. R. China 2Chongqing Communication College, Chongqing 400035, P. R. China 3Communications Network Center of Zhongnan ATMB of Civil Aviation, Guangzhou 510470, P. R. China
Abstract:A new passive method for automatic discovery and location of network failure is proposed. This method employs a passive measurement to collect information and events from network traffic, and employs a model-based reasoning system to detect and locate network faults.Measurement points are deployed in a backbone network to capture the traffic and then evaluate the Quality of Service (QoS) metrics of end-to-end IP conversations. A routing model is also established for the observed network to simulate the attributes and activities of routers and links. This routing model also deduces the routing path for each IP conversation, and thus the QoS metrics of IP conversations are mapped into the metrics of paths. With the information of shared links of overlapping paths and network tomography technique, the QoS metrics of links can also be estimated, and the poorly rated links are picked out as failure points. This method is implemented in a tool named Fault-Man, which is deployed in a campus network. Test results have shown its availability in middle-scale networks.
Keywords:passive measurement  network fault location  model-based reasoning
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