Automated adaptive baselining and thresholding method and system

Abstract

A system and method for automatically constructing a baseline for an attribute of a monitored system, calculating a threshold based on the constructed baseline, and feeding the threshold back into the monitored system is presented. In accordance with the invention, a metric corresponding to an attribute of interest of a monitored system is extracted and compared with a current normal threshold associated with the attribute. An event notification is generated if the extracted metric is not within a limit defined by the current normal threshold. A baseline is calculated based on a relevant subset of extracted metrics, from which a new current normal threshold is calculated. The current normal threshold is reconfigured with the new current normal threshold. In preferred embodiments, an alarm is generated if one or more event notifications meet the conditions of pre-specified rules. Newly calculated current normal thresholds are limited to a service level limit which defines a boundary of the acceptable level of operation the attribute, and a service level exception is generated, if the newly calculated current normal threshold is not within that limit. Reports are generated which summarize the performance of the monitored attributes, indicate which monitored attributes are out-of-control, and prioritize the order in which out-of-control attributes receive available engineering resources.

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