基于大数据分析的网络告警信息分级模型构建  

Construction of Hierarchical Model of Network Alarm Information Based on Big Data Analysis

作　　者：张海斌[1] Zhang Haibin(Tongren Polytechnic College,Tongren Guizhou 554300,China)

机构地区：[1]铜仁职业技术学院,贵州铜仁554300

出　　处：《信息与电脑》2020年第9期188-189,共2页Information & Computer

摘　　要：现有网络告警信息处理大部分仅针对高等级预警信息,降低了网络运营维护的管理质量。基于此,笔者提出基于大数据分析的网络告警信息分级模型构建,首先以构建模型为基础,提取网络大数据中告警数据信息,并对其相似度进行处理,完成告警信息分级,进而设计实验,对比在相同条件下大数据分析、SVM与KNN技术3种不同网络告警信息分级模型的分级处理,证明研究的有效性。Most of the existing network alarm information processing is only for high-level alarm information,which reduces the management quality of network operation and maintenance.Based on this,the author proposes a network alarm information classification model based on big data analysis.First,based on the model,the alarm data information in the network big data is extracted,and its similarity is processed to complete the alarm information classification.Then,an experiment is designed to compare the scores of three different network alarm information classification models:big data analysis,SVM and KNN technology under the same conditions The validity of the research is proved by the level of treatment.

关 键 词：大数据 网络 告警信息 模型构建 

分 类 号：TN915.07[电子电信—通信与信息系统]