Online Log Parsing: Preliminary Literature Review

Scott Lupton, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Dynamic approaches to log monitoring require adaptive/incremental parsing methodology to extract meaningful features from complex, evolving data. In this preliminary study, a systematic literature review of online/incremental log parsing research is performed. An inventory of methods is taken, gaps in current research are explored, and suggestions are made for future studies.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages304-305
Number of pages2
ISBN (Electronic)9781665426039
DOIs
Publication statusPublished - 2021
Event32nd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021 - Wuhan, China
Duration: 2021 Oct 252021 Oct 28

Publication series

NameProceedings - 2021 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021

Conference

Conference32nd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2021
Country/TerritoryChina
CityWuhan
Period21/10/2521/10/28

Keywords

  • Log parsing
  • log template extraction
  • online algorithms

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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