【摘要】 网络故障诊断是网络管理的重要技术工作,网络本身复杂程度的提高对相应的故障诊断基础提出了更高的要求,尤其是在及时性和智能性方面的发展要求。文章结合课题所研究问题的具体特点,在对现有网络诊断技术综合分析研究的基础上,以动态因果网理论为基础,提出了针对性的解决方法,其特点在于诊断模型既能方便地引入领域专家的先验知识,又能在实际运行中对各项参数的动态修改,从而使该模型对所诊断网络的认知能力不断提升,为定位和排除故障提供强有力的支持。更多还原

【Abstract】 Network fault diagnosis is an important technology for network management.With the increase of network’s complexity,fault diagnosis performances should be improved too,especially on the requirements for Real-time and intel-ligence.Based on Dynamic Causality Diagram theory and analysis of current popular solutions of network fault diagnosis,this paper puts forward a effective method,which also carefully considered our project’s practical conditions.Our solution not only features on the convenient combination of diagnosis model with the knowledge of experts,but also on the dy-namic modification of all those parameters in running period.So the model could improve the knowledge about the diag-nosis computer network,backing up the fault position and fault elimination.更多还原