Publication Details
EvoParser: An Evolutionary Approach to Log Parsing
In the domain of network operations and manage-
ment, efficient log parsing is crucial for processing the high
volumes of log data necessary to monitor the reliability and
performance of the operated infrastructures and services. This
paper introduces a novel method for creating highly efficient
log parsers. Our method employs a genetic algorithm to evolve
optimized log parsing graphs that deliver high-quality parsing
results. 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-time
applications in high-volume data scenarios.
@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="8",
publisher="IEEE Communications Society",
address="Honolulu"
}