计算机网络中的故障定位技术研究

Research of fault localization techniques in computer network

故障定位就是从一系列观测的故障现象中演绎出确切的故障源,也是网络故障管理的核心。一直以来有很多从计算机科学的不同领域衍生出来的方法解决故障定位,包括人工智能、图论、神经网络、信息论和自动机理论。本文论述了故障定位技术在计算机网络中的重要性,详细介绍了专家系统和图论方法在故障定位技术中的应用,特别论述了信度网故障定位方法。最后分析了目前故障定位尚待解决的问题。

Fault localization, a central aspect of network fault management, is a processing of deducing the exact source of a failure from a set of observed failure indications. Numerous paradigms are proposed on which fault localization techniques are based. These paradigms derive from different areas of computer science, including artificial intelligence, graph theory, neural networks, information theory, and automata theory. This paper presents the importance of fault localization techniques in computer network, and emphases on belief network used in fault localization techniques. Finally some open research problems in this field are discussed.