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.