摘要 |
A monitoring system including a baseline model that automatically captures and models normal system behavior, a correlation model that employs multivariate autoregression analysis to detect abnormal system behavior, and an alarm service that weight and scores a variety of alerts to determine an alarm status and implement appropriate response actions. The baseline model decomposes the input variables into a number of components representing relatively predictable behaviors so that the erratic component et may be isolated for further processing. These components include a global trend component, a cyclical component, and a seasonal component. Modeling and continually updating these components separately permits a more accurate identification of the erratic component of the input variable, which typically reflects abnormal patterns when they occur. |
申请人 |
NETUITIVE INC.;HELSPER, DAVID;HAMOKI, DAVID;RASMUSSEN, AMANDA;JANNARONE, ROBERT;HUARD, JEAN-FRAN CENT OIS |
发明人 |
HELSPER, DAVID;HAMOKI, DAVID;RASMUSSEN, AMANDA;JANNARONE, ROBERT;HUARD, JEAN-FRAN CENT OIS |