Detail publikačního výsledku

EvoParser: An Evolutionary Approach to Log Parsing

SETINSKÝ, J.; ŽÁDNÍK, M.

Originální název

EvoParser: An Evolutionary Approach to Log Parsing

Anglický název

EvoParser: An Evolutionary Approach to Log Parsing

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In the domain of network operations and manage-ment, efficient log parsing is crucial for processing the highvolumes of log data necessary to monitor the reliability andperformance of the operated infrastructures and services. Thispaper introduces a novel method for creating highly efficientlog parsers. Our method employs a genetic algorithm to evolveoptimized log parsing graphs that deliver high-quality parsingresults. Experimental evaluations demonstrate that our approach achieves results comparable to or better than state-of-the-art techniques while maintaining low complexity during parsing.These characteristics make it particularly suitable for real-timeapplications in high-volume data scenarios.

Anglický abstrakt

In the domain of network operations and manage-ment, efficient log parsing is crucial for processing the highvolumes of log data necessary to monitor the reliability andperformance of the operated infrastructures and services. Thispaper introduces a novel method for creating highly efficientlog parsers. Our method employs a genetic algorithm to evolveoptimized log parsing graphs that deliver high-quality parsingresults. Experimental evaluations demonstrate that our approach achieves results comparable to or better than state-of-the-art techniques while maintaining low complexity during parsing.These characteristics make it particularly suitable for real-timeapplications in high-volume data scenarios.

Klíčová slova

Log Parsing, Log Analysis, Evolutionary Approach, Network Management, NSGA-III

Klíčová slova v angličtině

Log Parsing, Log Analysis, Evolutionary Approach, Network Management, NSGA-III

Autoři

SETINSKÝ, J.; ŽÁDNÍK, M.

Rok RIV

2026

Vydáno

15.05.2025

Nakladatel

IEEE Communications Society

Místo

Honolulu

ISBN

979-8-3315-3164-5

Kniha

38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025

Strany od

1

Strany do

8

Strany počet

8

BibTex

@inproceedings{BUT193350,
  author="Jiří {Setinský} and Martin {Žádník}",
  title="EvoParser: An Evolutionary Approach to Log Parsing",
  booktitle="38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025",
  year="2025",
  pages="1--8",
  publisher="IEEE Communications Society",
  address="Honolulu",
  doi="10.1109/NOMS57970.2025.11073703",
  isbn="979-8-3315-3164-5"
}