  Logs are a fundamental component of modern computer systems. They enable the
analysis and monitoring teams to understand any abnormal or malicious behavior
that may have occurred. The continuous increase in the volume of logs generated
by these systems made it unsuitable for manual inspection and represents a real
challenge with regard to process automation. In order to process these data,
several log-structuring solutions have been developed. In this article, we
analyze the capabilities of two solutions in order to meet the challenges of
Cloud Computing in terms of efficiency and effectiveness. Our work focuses on
the impact of parameterization and preprocessing on the performance of these
methods -- two important steps as they require human intervention, which is
incompatible with with the automation of the log-structuring process.
