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Logs record valuable system information at runtime. They are widely used bydata-driven approaches for development and monitoring purposes. Parsing logmessages to structure their format is a classic preliminary step for log-miningtasks. As they appear upstream, parsing operations can become a processing timebottleneck for downstream applications. The quality of parsing also has adirect influence on their efficiency. Here, we propose USTEP, an online logparsing method based on an evolving tree structure. Evaluation results on awide panel of datasets coming from different real-world systems demonstrateUSTEP superiority in terms of both effectiveness and robustness when comparedto other online methods.

USTEP: Structuration des logs en flux gr{\^a}ce {\`a} un arbre de recherche {\'e}volutif