典型文献
Alarm-Based Root Cause Analysis Based on Weighted Fault Propagation Topology for Distributed Information Network
文献摘要:
A distributed information network with complex network structure always has a challenge of locating fault root causes . In this pa-per, we propose a novel root cause analysis (RCA) method by random walk on the weighted fault propagation graph. Different from other RCA methods, it mines effective features information related to root causes from offline alarms. Combined with the information, online alarms and graph relationship of network structure are used to construct a weighted graph. Thus, this approach does not require operational experience and can be widely applied in different distributed networks. The proposed method can be used in multiple fault location cases. The experi-ment results show the proposed approach achieves much better performance with 6%higher precision at least for root fault location, compared with three baseline methods. Besides, we explain how the optimal parameter's value in the random walk algorithm influences RCA results.
文献关键词:
中图分类号:
作者姓名:
LYU Xiaomeng;CHEN Hao;WU Zhenyu;HAN Junhua;GUO Huifeng
作者机构:
Engineering Research Center for Information Networks, Beijing Uni?versity of Posts and Telecommunications, Beijing 100876, China;ZTE Corporation, Shenzhen 518057, China
文献出处:
引用格式:
[1]LYU Xiaomeng;CHEN Hao;WU Zhenyu;HAN Junhua;GUO Huifeng-.Alarm-Based Root Cause Analysis Based on Weighted Fault Propagation Topology for Distributed Information Network)[J].中兴通讯技术(英文版),2022(03):77-84
A类:
B类:
Alarm,Based,Root,Cause,Analysis,Weighted,Fault,Propagation,Topology,Distributed,Information,Network,distributed,information,complex,structure,always,has,challenge,locating,fault,root,causes,this,novel,analysis,RCA,by,random,walk,weighted,propagation,graph,Different,from,other,methods,mines,effective,features,related,offline,alarms,Combined,online,relationship,used,construct,Thus,approach,does,not,require,operational,experience,can,widely,applied,different,networks,proposed,multiple,location,cases,ment,results,show,achieves,much,better,performance,higher,precision,least,compared,three,baseline,Besides,explain,optimal,parameter,value,algorithm,influences
AB值:
0.59417
相似文献
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。