Bmc Software, Inc.

John Flournoy

Nigel G Slinger

Wenjie Zhu

Roxanne Kallman

Sudipta Sengupta

Catherine E Drummond

Jeremy Riegel

Catherine Drummond

A data stream of performance metrics characterizing a technology landscape may be received. From a plurality of performance prediction models and based on the performance metrics, a subset of performance prediction models may be selected. The subset of performance prediction models may be combined into a composite prediction model. The composite prediction model may be loaded into a model processor for scoring against the data stream of performance metrics to obtain a performance prediction for the technology landscape based thereon.

Performance prediction using dynamic model correlation

When a restart event is detected within a technology landscape, restart-impacted performance metrics and non-restart-impacted performance metrics may be identified. The non-restart-impacted performance metrics may continue to be included within a performance characterization of the technology landscape. The restart-impacted performance metrics may be monitored, while being excluded from the performance characterization. The restart-impacted performance metric of the restart-impacted performance metrics may be transitioned to a non-restart-impacted performance metric, based on a monitored value of the restart-impacted performance metric following the restart event.

Restart tolerance in system monitoring

Growing community of inventors

Lago Vista, TX, United States of America

John Flournoy