网络故障预警算法研究  

Research on Algorithm of the Fault Early Warning of Network

作　　者：李子为 丁岳伟[1] LI Zi-wei;DING Yue-wei(School of Optical Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《软件导刊》2020年第7期194-197,共4页Software Guide

摘　　要：随着网络规模的不断扩大,为了保障网络安全、稳定运行,需要一种更高效的网络故障预警算法。通过对传统网络故障预警算法优缺点的分析,针对其缺点进行优化改进,采用离群点检测算法建立网络故障预警模型。对异常检测算法数据进行预处理,在Hadoop平台上计算数据异常指数,并不断调整阈值参数。实验结果表明,改进型离群点检测算法故障检测率达到98%,可对网络故障进行有效预警。In order to meet the requirements of increasing network scale in automation operation and maintenance,a more efficient network fault early warning algorithm is proposed in this paper.It is hoped to improve the performance of algorithm of the fault early warning of network through the study of the traditional algorithm of the fault early warning of network and analysis of its advantages and disadvantages.This paper proposes the alarm and fault identification based on outlier detection algorithm.Firstly,the model of fault early warning of network are established.Then the data of outlier detection algorithm are preprocessed,threshold values are adjusted,and the performance of this algorithm is verified on Hadoop platform.The experimental process and results of network fault early warning are analyzed the improved outlier detection algorithm achieves 98%fault detection rate.The result show that this algorithm is efficient to warn network faults.

关 键 词：网络故障 故障预警 离群点 HADOOP平台 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]