Invention Grant
- Patent Title: Short-term model calibration in system monitoring
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Application No.: US17301143Application Date: 2021-03-26
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Publication No.: US12287718B2Publication Date: 2025-04-29
- Inventor: Nigel Slinger , Wenjie Zhu , Catherine Drummond , Sudipta Sengupta
- Applicant: BMC Software, Inc.
- Applicant Address: US TX Houston
- Assignee: BMC Software, Inc.
- Current Assignee: BMC Software, Inc.
- Current Assignee Address: US TX Houston
- Agency: Brake Hughes Bellermann LLP
- Main IPC: G06F11/34
- IPC: G06F11/34 ; G06N20/00 ; G06Q10/0639

Abstract:
A technology landscape may be characterized using a performance characterization that includes scores assigned to performance metrics for the technology landscape and using at least one trained machine learning model. In response to a detected calibration trigger, a calibratable performance metric of the performance metrics may be determined. A relationship may be determined between conforming values of the calibratable performance metric during a conforming period for which the at least one trained machine learning model was trained, and non-conforming values of the calibratable performance metric occurring during a calibration period initiated by the calibration trigger. In this way, a score assigned to the calibratable performance metric may be calibrated, based on the relationship.
Public/Granted literature
- US20220308977A1 SHORT-TERM MODEL CALIBRATION IN SYSTEM MONITORING Public/Granted day:2022-09-29
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