通信网络故障链路的全自动识别

Zhi-Gang Zhao, Jian-Hui Wang
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引用次数: 2

摘要

传统的网络链路故障诊断往往需要人工服务,导致诊断精度不高。为此,本文提出了一种通信链路的全自动故障诊断方法。在已知网络管理节点可通信或不可通信的路径信息的情况下,结合概率计算建立故障诊断模型,使网络管理节点能够完全自动实时识别最可能发生链路故障的范围。然后,通过快速测试,可以准确定位链路故障。在此基础上,设计了一个层次网络管理体系结构来处理异构网络环境下的故障诊断。仿真结果表明,该方法实时性好,精度高,完全自动化,不占用或只占用少量额外带宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Full Automatic Identification of Faulty Links for Communication Networks
Conventionally the manual service is often required for fault diagnosis of network links with improper accuracy brought in. So, a full automatic fault diagnosis approach for communication links is proposed as follows. If the path information that which node are available or unavailable to communicate with from the node(s) taking charge of network management has both been known, a fault diagnosis model is developed in combination with probability computation, by which the node(s) in charge of network management can implement full automatically the real-time identification of the range where the link failures happen most probably. Then, the link failures can be positioned accurately via quick tests. Based on this approach, a hierarchy network management architecture is designed to deal with the fault diagnosis for a heterogeneous network environment. The simulation results showed that this approach is real-time, highly accurate and full automatic with no or few extra bandwidth occupied.
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