Bmc Software, Inc.

Proactivenet, Inc.

Ronald Alexander LeFaive

Joe Scarpelli

Sridhar Sodem

Atul Garg

Daniel Ketcham

Embodiments disclosed herein can significantly optimize a root cause analysis and substantially reduce the overall time needed to isolate the root cause or causes of service degradation in an IT environment. By building on the ability of an abnormality detection algorithm to correlate an alarm with one or more events, embodiments disclosed herein can apply data correlation to data points collected within a specified time window by data metrics involved in the generation of the alarm and the event(s). The level of correlation between the primary metric and the probable cause metrics may be adjusted using the ratio between theoretical data points and actual points. The final Root Cause Analysis score may be modified depending upon the adjusted correlation value and presented for user review through a user interface.

System, method and computer program product for optimized root cause analysis

A system is provided to monitor network performances. The system maintains a database of performance abnormalities, alarms and events from a system of monitored elements. The system automatically identifies a possible cause of a specific alarm by correlating the specific alarm with a plurality of events using the database. The system displays the cause of the specific alarm. The database includes alarms and events of network devices, network systems, and network applications. The specific alarm consists of a notification of an occurrence of the plurality of events.

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Sunnyvale, CA, United States of America

Ronald Alexander LeFaive