Modern data centers have a large number of components that must
be monitored, including servers, switches/routers, and environmental
control systems. This paper describes InteMon, a prototype
monitoring and mining system for data centers. It uses the SNMP
protocol to monitor a new data center at Carnegie Mellon. It stores
the monitoring data in a MySQL database, allowing visualization
of the time-series data using a JSP web-based frontend interface
for system administrators. What sets InteMon apart from other
cluster monitoring systems is its ability to automatically analyze
correlations in the monitoring data in real time and alert administrators
of potential anomalies. It uses efficient, state of the art stream
mining methods to report broken correlations among input streams.
It also uses these methods to intelligently compress historical data
and avoid the need for administrators to configure threshold-based
monitoring bands.