Software Technology Research
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217-221

Heuristic online log parsing method based on part-of-speech tagging

Jiang Jinzhao
Fu Yuanyuan
Xu Jian
School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210094, China

Abstract

To solve the problems of low parsing accuracy and poor generalization caused by the insufficient distinguishing ability of log feature representations for logs used in existing heuristic log parsing methods, this paper proposed PosParser, a heuristic online log parsing method. The method used function token sequence(FTS) derived from the concept of trigger words as feature representations, and consisted of the two-stage detection method for solving the problem of complex logs that were prone to over-parsing, and the post-processing for dealing with variable-length parameter logs. PosParser achieved an average parsing accuracy of 0.952 on 16 real-life log datasets. The results demonstrate that FTS has adequate distinguishing ability for logs and PosParser is effective and robust.

Foundation Support

国防基础科研计划国防科技重点实验室稳定支持项目(WDZC20225250405)
国家自然科学基金资助项目(61872186)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0212
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Software Technology Research
Pages: 217-221
Serial Number: 1001-3695(2024)01-033-0217-05

Publish History

[2023-10-07] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

蒋金钊, 傅媛媛, 徐建. 基于词性标注的启发式在线日志解析方法 [J]. 计算机应用研究, 2024, 41 (1): 217-221. (Jiang Jinzhao, Fu Yuanyuan, Xu Jian. Heuristic online log parsing method based on part-of-speech tagging [J]. Application Research of Computers, 2024, 41 (1): 217-221. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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