免疫Agents在网络故障诊断方法中的研究

Network Fault Diagnosis Based on Immune Agents

针对传统的网络故障诊断方法普遍具有自适应差、误报率高等的不足,提出了一种结合免疫算法和agent技术的网络故障诊断方法。在分布式环境中,按照网络的不同特征和环境差异,利用不同功能、不同类别的agent进行故障诊断,同时各agent之间能够互相协作,彼此进行信息交流,和采集数据,从而对所获得的故障类型进行诊断。实验证明,该方法能够对网络故障类型进行有效的判定,对以后大型网络故障诊断是一个很好的借鉴。

Because of the lack of adaptability and high false rate in traditional method of network fault diagnosis,a new method based on the immune algorithm with agent technology is proposed.In a distributed environment,in accordance with the different characteristics of the network and different environmental,different agents with different functions and categories diagnose the faults,while the agent to collaborate among each other,eTPhange information,and collect data,in order to diagnose the type of fault.Experiments show that the method can determine the type of network fault effectively,which is a good reference for fault diagnosis of large-scale networks of the future.