PREDICTING NETWORK ANOMALY EVENTS
    1.
    发明公开

    公开(公告)号:US20240187321A1

    公开(公告)日:2024-06-06

    申请号:US18076138

    申请日:2022-12-06

    摘要: In one example, a method for prediction future network anomaly events is disclosed. The method includes generating a machine learning model for a computer communication network. Generation of the machine learning model can be by applying a historical set of time series data metrics of the computer communication network to train the machine learning model. The method may determine a data metric threshold that indicates a limit for future data metrics associated with the computer communication network. The method may analyze current data metrics associated with the computer communication network, and predict a future time when the data metrics associated with the computer communication network will meet or exceed the data metric threshold value. The method may flag the prediction of the future time to avoid a network anomaly.