I don't know if this has come up yet but....

In terms of tagging errors we might be able to use some machine learning techniques.

There are NLP/learning systems that interpret logs. They learn over time what is normal and what isn't and can flag things that are abnormal.

For example, people are using support vector machines (SVM) analysis on log files to do intrusion detection. Here's a link for intrusion detection called Robust Anomaly Detection Using Support Vector Machines http://wwwcsif.cs.ucdavis.edu/~liaoy/research/ RSVM_Anomaly_journal.pdf

This paper from IBM gives some more background information on how such a thing might work. http://www.research.ibm.com/journal/sj/413/ johnson.html

I have previously used an open source toolkit from CMU called rainbow to do these types of analysis.


---------------------------(end of broadcast)---------------------------
TIP 2: Don't 'kill -9' the postmaster

Reply via email to