典型文献
ML-Parser:An Efficient and Accurate Online Log Parser
文献摘要：
A log is a text message that is generated in various services,frameworks,and programs.The majority of log data mining tasks rely on log parsing as the first step,which transforms raw logs into formatted log templates.Existing log parsing approaches often fail to effectively handle the trade-off between parsing quality and performance.In view of this,in this paper,we present Multi-Layer Parser(ML-Parser),an online log parser that runs in a streaming manner.Specifically,we present a multi-layer structure in log parsing to strike a balance between efficiency and effectiveness.Coarse-grained tokenization and a fast similarity measure are applied for efficiency while fine-grained tokenization and an accurate similarity measure are used for effectiveness.In experiments,we compare ML-Parser with two existing online log parsing approaches,Drain and Spell,on ten real-world datasets,five labeled and five unlabeled.On the five labeled datasets,we use the proportion of correctly parsed logs to measure the accuracy,and ML-Parser achieves the highest accuracy on four datasets.On the whole ten datasets,we use Loss metric to measure the parsing quality.ML-Parse achieves the highest quality on seven out of the ten datasets while maintaining relatively high efficiency.
文献关键词：
中图分类号：
作者姓名：
Yu-Qian Zhu;Jia-Ying Deng;Jia-Chen Pu;Peng Wang;Shen Liang;Wei Wang
作者机构：
School of Computer Science,Fudan University,Shanghai 200082,China
文献出处：
引用格式：
[1]Yu-Qian Zhu;Jia-Ying Deng;Jia-Chen Pu;Peng Wang;Shen Liang;Wei Wang-.ML-Parser:An Efficient and Accurate Online Log Parser)[J].计算机科学技术学报（英文版）,2022(06):1412-1426
A类：
formatted,parser,tokenization,Drain,Spell,parsed,Parse
B类：
ML,Parser,An,Efficient,Accurate,Online,Log,text,message,that,generated,various,services,frameworks,programs,majority,mining,tasks,rely,parsing,first,step,which,transforms,raw,logs,into,templates,Existing,approaches,often,fail,effectively,handle,trade,off,between,quality,performance,In,view,this,paper,present,Multi,Layer,online,runs,streaming,manner,Specifically,multi,layer,structure,strike,balance,efficiency,effectiveness,Coarse,grained,fast,similarity,measure,applied,while,fine,accurate,used,experiments,compare,two,existing,real,world,datasets,five,unlabeled,proportion,correctly,accuracy,achieves,highest,four,whole,Loss,metric,seven,out,maintaining,relatively
AB值：
0.4589
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