USTEP: Structuration des logs en flux grâce à un arbre de recherche évolutif

04/24/2023
by   Arthur Vervaet, et al.
0

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

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/12/2018

A Directed Acyclic Graph Approach to Online Log Parsing

Logs are widely used in modern software system management because they a...
research
06/02/2023

An Evaluation of Log Parsing with ChatGPT

Software logs play an essential role in ensuring the reliability and mai...
research
08/10/2022

LogStamp: Automatic Online Log Parsing Based on Sequence Labelling

Logs are one of the most critical data for service management. It contai...
research
02/12/2021

On Automatic Parsing of Log Records

Software log analysis helps to maintain the health of software solutions...
research
08/17/2023

Log Parsing Evaluation in the Era of Modern Software Systems

Due to the complexity and size of modern software systems, the amount of...
research
03/19/2021

Improving Web API Usage Logging

A Web API (WAPI) is a type of API whose interaction with its consumers i...
research
02/15/2022

Documentation based Semantic-Aware Log Parsing

With the recent advances of deep learning techniques, there are rapidly ...

Please sign up or login with your details

Forgot password? Click here to reset