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    Predicting and forecasting roaming issues in a wireless network
    1.
    发明授权
    Predicting and forecasting roaming issues in a wireless network 有权

    公开(公告)号：US10735274B2

    公开(公告)日：2020-08-04

    申请号：US15880992

    申请日：2018-01-26

    Applicant: Cisco Technology, Inc.

    Inventor： Sharon Shoshana Wulff ,  Grégory Mermoud ,  Jean-Philippe Vasseur

    IPC: H04L12/24 ,  H04W48/20 ,  H04W24/02 ,  H04W24/08 ,  H04W24/10 ,  H04W88/08 ,  H04W88/18

    Abstract: In one embodiment, a network assurance service applies labels to feature vectors of network characteristics associated with a plurality of wireless access points in the network. An applied label for a feature vector indicates whether the access point associated with the feature vector experienced a threshold number of onboarding delays within a given time window. The service, based on the feature vectors and labels, trains a plurality of machine learning-based classifiers to predict onboarding delays, and uses one or more of the trained plurality of classifiers to predict onboarding delays for a particular access point. The service calculates one or more classifier performance metrics for the one or more classifiers based on the predicted onboarding delays for the particular access point. The service selects a particular one of the classifiers to monitor the network characteristics associated with the particular access point, based on the one or more classifier performance metrics.

    Adaptive threshold selection for SD-WAN tunnel failure prediction
    2.
    发明授权
    Adaptive threshold selection for SD-WAN tunnel failure prediction 有权

    公开(公告)号：US11574241B2

    公开(公告)日：2023-02-07

    申请号：US16392825

    申请日：2019-04-24

    Applicant: Cisco Technology, inc.

    Inventor： Sharon Shoshana Wulff ,  Grégory Mermoud ,  Jean-Philippe Vasseur

    IPC: H04L41/147 ,  G06N20/00 ,  H04L41/50 ,  H04L12/46

    Abstract: In one embodiment, a supervisory service for a software-defined wide area network (SD-WAN) uses a plurality of different decision thresholds for a machine learning-based classifier, to predict tunnel failures of a tunnel in the SD-WAN. The supervisory service captures performance data indicative of performance of the classifier when using the different decision thresholds. The supervisory service selects, based on the captured performance data, a particular decision threshold for the classifier, in an attempt to optimize the performance of the classifier. The supervisory service uses the selected decision threshold for the classifier, to predict a tunnel failure of the tunnel.

    Using a multi-network dataset to overcome anomaly detection cold starts
    3.
    发明授权
    Using a multi-network dataset to overcome anomaly detection cold starts 有权

    公开(公告)号：US10749768B2

    公开(公告)日：2020-08-18

    申请号：US16178679

    申请日：2018-11-02

    Applicant: Cisco Technology, Inc.

    Inventor： Sharon Shoshana Wulff ,  Jean-Philippe Vasseur ,  Grégory Mermoud

    IPC: H04L12/26 ,  H04L29/08 ,  G06K9/62 ,  G06N20/00

    Abstract: In one embodiment, a network assurance service receives a first set of telemetry data captured in a first network monitored by the network assurance service. The network assurance service computes, for each of a plurality of other networks monitored by the service, a similarity score between the first set of telemetry data and a set of telemetry data captured in that other network. The service selects a machine learning-based anomaly detector trained using a particular one of the sets of telemetry data captured in one of the plurality of other networks, based on the computed similarity score between the first set of telemetry data and the particular set of telemetry data captured in one of the plurality of other networks. The service uses the selected anomaly detector to assess telemetry data from the first network, until the service has received a threshold amount of telemetry data for the first network.

    USING A MULTI-NETWORK DATASET TO OVERCOME ANOMALY DETECTION COLD STARTS
    4.
    发明申请
    USING A MULTI-NETWORK DATASET TO OVERCOME ANOMALY DETECTION COLD STARTS 审中-公开

    公开(公告)号：US20200145304A1

    公开(公告)日：2020-05-07

    申请号：US16178679

    申请日：2018-11-02

    Applicant: Cisco Technology, Inc.

    Inventor： Sharon Shoshana Wulff ,  Jean-Philippe Vasseur ,  Grégory Mermoud

    IPC: H04L12/26 ,  H04L29/08 ,  G06F15/18 ,  G06K9/62

    Abstract: In one embodiment, a network assurance service receives a first set of telemetry data captured in a first network monitored by the network assurance service. The network assurance service computes, for each of a plurality of other networks monitored by the service, a similarity score between the first set of telemetry data and a set of telemetry data captured in that other network. The service selects a machine learning-based anomaly detector trained using a particular one of the sets of telemetry data captured in one of the plurality of other networks, based on the computed similarity score between the first set of telemetry data and the particular set of telemetry data captured in one of the plurality of other networks. The service uses the selected anomaly detector to assess telemetry data from the first network, until the service has received a threshold amount of telemetry data for the first network.

    PREDICTING AND FORECASTING ROAMING ISSUES IN A WIRELESS NETWORK
    5.
    发明申请
    PREDICTING AND FORECASTING ROAMING ISSUES IN A WIRELESS NETWORK 审中-公开

    公开(公告)号：US20190239158A1

    公开(公告)日：2019-08-01

    申请号：US15880992

    申请日：2018-01-26

    Applicant: Cisco Technology, Inc.

    Inventor： Sharon Shoshana Wulff ,  Grégory Mermoud ,  Jean-Philippe Vasseur

    IPC: H04W48/20 ,  H04W24/10 ,  H04W24/02

    Abstract: In one embodiment, a network assurance service applies labels to feature vectors of network characteristics associated with a plurality of wireless access points in the network. An applied label for a feature vector indicates whether the access point associated with the feature vector experienced a threshold number of onboarding delays within a given time window. The service, based on the feature vectors and labels, trains a plurality of machine learning-based classifiers to predict onboarding delays, and uses one or more of the trained plurality of classifiers to predict onboarding delays for a particular access point. The service calculates one or more classifier performance metrics for the one or more classifiers based on the predicted onboarding delays for the particular access point. The service selects a particular one of the classifiers to monitor the network characteristics associated with the particular access point, based on the one or more classifier performance metrics.

    ADAPTIVE THRESHOLD SELECTION FOR SD-WAN TUNNEL FAILURE PREDICTION
    9.
    发明申请
    ADAPTIVE THRESHOLD SELECTION FOR SD-WAN TUNNEL FAILURE PREDICTION 审中-公开

    公开(公告)号：US20200342346A1

    公开(公告)日：2020-10-29

    申请号：US16392825

    申请日：2019-04-24

    Applicant: Cisco Technology, Inc.

    Inventor： Sharon Shoshana Wulff ,  Grégory Mermoud ,  Jean-Philippe Vasseur

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

    Abstract: In one embodiment, a supervisory service for a software-defined wide area network (SD-WAN) uses a plurality of different decision thresholds for a machine learning-based classifier, to predict tunnel failures of a tunnel in the SD-WAN. The supervisory service captures performance data indicative of performance of the classifier when using the different decision thresholds. The supervisory service selects, based on the captured performance data, a particular decision threshold for the classifier, in an attempt to optimize the performance of the classifier. The supervisory service uses the selected decision threshold for the classifier, to predict a tunnel failure of the tunnel.

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