| 摘 要: "随着信息技术的快速发展，计算机网络日趋复杂，故障定位技术作为网络管理的核心一直是研究的热点。
由于网络的互联性，网络故障存在着一定的关联，而计算机网络故障定位则是需要依据事件的相互关系，从多个故障事
件中定位故障源。提出专家系统技术，基于主动轮询技术，基于拓扑结构，图论技术对此课题展开研究，并且详细介绍
了基于蚁群的高效优化算法，大大提高了工作效率，为之后的故障定位技术的研究有着重要的借鉴意义。" |
| 关键词: 故障定位；专家系统技术；网络拓扑结构；图论；蚁群算法 |
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中图分类号: TP393.0
文献标识码: A
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| A Study on the Fault Localization Technology in the Computer Network |
|
ZHOU Chang
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(East China Normal University, Shanghai 200241, China )
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| Abstract: "With the rapid development of information technology,the computer network becomes more complex.The
fault localization technology,as the core of network management,has been a hot research.Because of the connectivity of the
network,there are some correlations among network faults.Based on the correlations among events,the source should be
localized from multiple computer network faults.The study is conducted based on the expert system technology,the active
polling technology,the network topology and the graph theory.The paper proposes a highly efficient optimization algorithm
based on ACA(Ant Colony Algorithm),which greatly improves work efficiency and has great reference significance for
future studies on fault location technology" |
| Keywords: fault localization;the expert system technology;the network topology;the graph theory;ACA |
