A novel and useful method for enabling system logs to be effectively and efficiently monitored by ranking the system log messages by their estimated value to administrators and generating a log view that displays the most important messages. The ranking process uses a dataset of system logs from many computer systems to score messages. For better scoring, unsupervised clustering is used to identify sets of systems that behave similarly. The expected distribution of messages in a given system is estimated using the resulting clusters, and log messages are scored using this estimation.
|IPC||G06F 11/ 00 A I|
|State||Published - 30 Apr 2009|