人工免疫在网络故障诊断中的应用研究

Research on the Application of Artificial Immune in Network Fault Diagnosis

人工免疫系统(AIS)已被广泛的应用在许多领域,如数据分析、多峰函数优化、故障检测等。文章将人工免疫方法引入到PMC模型下网络故障诊断中,文中主要研究如何将AIS应用于系统级故障诊断。理论分析和实验结果表明,基于人工免疫系统的网络故障诊断方法在平均和最差情况下均优于传统的方法。

Artificial immune systems （AIS） have been extensively used in many fields for instance multimodaI function optimization, da- ta analysis, error detection, etc. In this paper, a novel artificial immune systems method is introduced for diagnosing faults in a network of processors under the PMC model. At the same time, how we can use AIS for system-level fault diagnosis is studied. Both of the theoretical analysis and experimental results demonstrate the effectiveness of the AIS-based diagnosis approach for small and large class of networks in the worst and average cases, which make it be much better than traditional fault diagnosis approaches.