LISA 2002 - Technical Program Abstract
MieLog: A Highly Interactive Visual Log Browser Using Information Visualization and Statistical Analysis
Tetsuji Takada & Hideki Koike - University of Electro-Communications
Pp. 133-144 of the Proceedings of LISA '02:
Sixteenth Systems Administration Conference,
USENIX Association, 2002).
System administration has become an increasingly important
function, with the fundamental task being the inspection of computer
log-files. It is not, however, easy to perform such tasks for two
reasons. One is the high recognition load of log contents due to the
massive amount of textual data. It is a tedious, time-consuming and
often error-prone task to read through them. The other problem is the
difficulty in extracting unusual messages from the log. If an
administrator does not have the knowledge or experience, he or she
cannot readily recognize unusual log messages. To help address these
issues, we have developed a highly interactive visual log browser
called ``MieLog.'' MieLog uses two techniques for manual log
inspection tasks: information visualization and statistical analysis.
Information visualization is helpful in reducing the recognition load
because it provides an alternative method of interpreting textual
information without reading. Statistical analysis enables the
extraction of unusual log messages without domain specific knowledge.
We will give three examples that illustrate the ability of the MieLog
system to isolate unusual messages more easily than before.
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