CORRELATION-AWARE EXPLAINABLE ONLINE CHANGE POINT DETECTION

    公开(公告)号:US20250062953A1

    公开(公告)日:2025-02-20

    申请号:US18800726

    申请日:2024-08-12

    Abstract: Systems and methods for correlation-aware explainable online change point detection. Collected data metrics from the cloud system can be transformed to correlation matrices. Correlation shifts from the correlation matrices can be captured as differences of correlation between batches of collected data metrics through determined statistics of the batches of collected data metrics across timesteps. Change points in the cloud system can be detected based on the correlation shifts to obtain detected change points. System maintenance can be performed autonomously based on the detected change points from identified system entities to optimize the cloud system with an updated configuration.

Patent Agency Ranking