  The analysis techniques of system log messages (syslog messages) have a long
history from when the syslog mechanism was invented. Typically, the analysis
consists of two parts, one is a message template generation, and the other is
finding something interesting using the messages classified by the inferred
templates. It is important to generate better templates to achieve better,
precise, or convincible analysis results. In this paper, we propose a
classification methodology using the length of words of each message. Our
method is suitable for online template generation because it does not require
two-pass analysis to generate template messages, that is an important factor
considering increasing amount of log messages produced by a large number of
system components such as cloud infrastructure.
