基于SVM算法的分布式系统故障检测方法

Distributed system fault detection method based on SVM algorithm

随着分布式系统的广泛应用,其稳定性和可靠性变得至关重要。作为保障分布式系统正常运行的关键环节,故障检测面临数据量大、检测速度与误报率要求高等挑战。针对分布式系统中的故障检测问题,文章提出了一种基于支持向量机(SVM)算法的故障检测方法,该方法通过引入特征选择和核函数优化提高了故障检测的准确性与效率。

With the widespread application of distributed systems,their stability and reliability have become crucial.As a key link in ensuring the normal operation of distributed systems,fault detection faces challenges such as large data volume,high requirements for detection speed and false alarm rate.This article proposes a fault detection method based on Support Vector Machine(SVM)algorithm for distributed systems,which improves the accuracy and efficiency of fault detection by introducing feature selection and kernel function optimization.