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    FORECASTING NETWORK KPIs
    2.
    发明申请
    FORECASTING NETWORK KPIs 有权

    公开(公告)号：US20210218641A1

    公开(公告)日：2021-07-15

    申请号：US16740051

    申请日：2020-01-10

    Applicant: Cisco Technology, Inc.

    Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Vinay Kumar Kolar ,  Pierre-Andre Savalle

    IPC: H04L12/24 ,  H04L12/46 ,  H04L12/703 ,  G06N20/00

    Abstract: In one embodiment, a service receives input data from networking entities in a network. The input data comprises synchronous time series data, asynchronous event data, and an entity graph that that indicates relationships between the networking entities in the network. The service clusters the networking entities by type in a plurality of networking entity clusters. The service selects, based on a combination of the received input data, machine learning model data features. The service trains, using the selected machine learning model data features, a machine learning model to forecast a key performance indicator (KPI) for a particular one of the networking entity clusters.

    PROGRESSIVE REFINEMENT OF DEVICE CLASSIFICATIONS USING COLORED DEVICE AND POLICY TREES
    8.
    发明申请
    PROGRESSIVE REFINEMENT OF DEVICE CLASSIFICATIONS USING COLORED DEVICE AND POLICY TREES 审中-公开

    公开(公告)号：US20200382376A1

    公开(公告)日：2020-12-03

    申请号：US16424574

    申请日：2019-05-29

    Applicant: Cisco Technology, Inc.

    Inventor： Pierre-Andre Savalle ,  Jean-Philippe Vasseur ,  Grégory Mermoud

    IPC: H04L12/24 ,  G06N20/00 ,  H04L12/26

    Abstract: In one embodiment, a device classification service classifies a device in a network as being of a first device type. The service applies a first network policy that has an associated expiration timer to the device, based on its classification as being of the first device type. The service determines whether the device was reclassified as being of a different device type than that of the first device type before expiration of the expiration timer associated with the first network policy. The service applies a second network policy to the device, when the service determines that the device has not been reclassified as being of a different device type before expiration of the expiration timer associated with the first network policy.

    LEARNING STABLE REPRESENTATIONS OF DEVICES FOR CLUSTERING-BASED DEVICE CLASSIFICATION SYSTEMS
    9.
    发明申请
    LEARNING STABLE REPRESENTATIONS OF DEVICES FOR CLUSTERING-BASED DEVICE CLASSIFICATION SYSTEMS 审中-公开

    公开(公告)号：US20200336397A1

    公开(公告)日：2020-10-22

    申请号：US16389013

    申请日：2019-04-19

    Applicant: Cisco Technology, Inc.

    Inventor： David Tedaldi ,  Grégory Mermoud ,  Pierre-Andre Savalle ,  Jean-Philippe Vasseur

    IPC: H04L12/26 ,  H04L12/24 ,  G06N20/00

    Abstract: In one embodiment, a device classification service obtains telemetry data for a plurality of devices in a network. The device classification service repeatedly assigns the devices to device clusters by applying clustering to the obtained telemetry data. The device classification service determines a measure of stability loss associated with the cluster assignments. The measure of stability loss is based in part on whether a device is repeatedly assigned to the same device cluster. The device classification service determines, based on the measure of stability loss, that the cluster assignments have stabilized. The device classification service obtains device type labels for the device clusters, after determining that the cluster assignments have stabilized.

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