USING MACHINE LEARNING TO MONITOR LINK QUALITY AND PREDICT LINK FAULTS

    公开(公告)号:US20190268240A1

    公开(公告)日:2019-08-29

    申请号:US16406251

    申请日:2019-05-08

    Abstract: A device may receive a trained data model that has been trained using historical link quality information associated with a set of links. The device may determine, after receiving the trained data model, link quality information associated with a link that is actively supporting traffic. The device may classify the link by using the link quality information as input for the data model. The data model may classify the link into a class of a set of classes associated with measuring link quality. The device may determine an actual quality level of the link. The device may selectively update the class of the link after determining the actual link quality of the link. The device may perform one or more actions associated with improving link quality based on classifying the link and/or selectively updating the class of the link.

    BUILT-IN TEST TRAFFIC GENERATOR
    3.
    发明申请

    公开(公告)号:US20190253335A1

    公开(公告)日:2019-08-15

    申请号:US15893304

    申请日:2018-02-09

    Abstract: A network device may include a packet generator device implemented in hardware. The packet generator device may include a control component, a payload generation component, and an interface element to receive test packet generation information. The test packet generation information may include one or more control inputs, header data that is to be included in one or more test packets, and information regarding a data pattern that is to be included in payload data of the one or more test packets. The one or more control inputs, when provided to the control component, may cause the control component to control the payload generation component to generate the one or more test packets based on the header data and the information regarding the data pattern.

    NETWORK DEVICES
    4.
    发明申请

    公开(公告)号:US20220414500A1

    公开(公告)日:2022-12-29

    申请号:US17898030

    申请日:2022-08-29

    Inventor: Alam YADAV

    Abstract: A network administration device may include one or more processors to receive operational information regarding a plurality of network devices; receive flow information relating to at least one traffic flow; input the flow information to a model, where the model is generated based on a machine learning technique, and where the model is configured to identify predicted performance information of one or more network devices with regard to the at least one traffic flow based on the operational information; determine path information for the at least one traffic flow with regard to the one or more network devices based on the predicted performance information; and/or configure the one or more network devices to implement the path information for the traffic flow.

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