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    Anomaly detection of model performance in an MLOps platform
    11.
    发明授权
    Anomaly detection of model performance in an MLOps platform 有权

    公开(公告)号：US11310141B2

    公开(公告)日：2022-04-19

    申请号：US16710836

    申请日：2019-12-11

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L12/26 ,  G06N20/00 ,  H04L43/00 ,  G06F17/18 ,  G06K9/62

    Abstract: In one embodiment, a service tracks performance of a machine learning model over time. The machine learning model is used to monitor one or more computer networks based on data collected from the one or more computer networks. The service also tracks performance metrics associated with training of the machine learning model. The service determines that a degradation of the performance of the machine learning model is anomalous, based on the tracked performance of the machine learning model and performance metrics associated with training of the model. The service initiates a corrective measure for the degradation of the performance, in response to determining that the degradation of the performance is anomalous.

    PRESERVING PRIVACY IN EXPORTING DEVICE CLASSIFICATION RULES FROM ON-PREMISE SYSTEMS
    14.
    发明申请
    PRESERVING PRIVACY IN EXPORTING DEVICE CLASSIFICATION RULES FROM ON-PREMISE SYSTEMS 审中-公开

    公开(公告)号：US20200382553A1

    公开(公告)日：2020-12-03

    申请号：US16424912

    申请日：2019-05-29

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L29/06 ,  G06N5/02 ,  G06N20/00 ,  H04L29/08

    Abstract: In one embodiment, a device in a network obtains data indicative of a device classification rule, a device type label associated with the rule, and a set of positive and negative feature vectors used to create the rule. The device replaces similar feature vectors in the set of positive and negative feature vectors with a single feature vector, to form a reduced set of feature vectors. The device applies differential privacy to the reduced set of feature vectors. The device sends a digest to a cloud service. The digest comprises the device classification rule, the device type label, and the reduced set of feature vectors to which differential privacy was applied. The service uses the digest to train a machine learning-based device classifier.

    DETECTION AND RESOLUTION OF RULE CONFLICTS IN DEVICE CLASSIFICATION SYSTEMS
    15.
    发明申请
    DETECTION AND RESOLUTION OF RULE CONFLICTS IN DEVICE CLASSIFICATION SYSTEMS 审中-公开

    公开(公告)号：US20200382373A1

    公开(公告)日：2020-12-03

    申请号：US16428202

    申请日：2019-05-31

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L12/24 ,  H04L29/06 ,  H04L12/723

    Abstract: In one embodiment, a service receives a plurality of device type classification rules, each rule comprising a device type label and one or more device attributes used as criteria for application of the label to a device in a network. The service estimates, across a space of the device attributes, device densities of devices having device attributes at different points in that space. The service uses the estimated device densities to identify two or more of the device type classification rules as having overlapping device attributes. The service determines that the two or more device type classification rules are in conflict, based on the two or more rules having different device type labels. The service generates a rule conflict resolution that comprises one of the device type labels from the conflicting two or more device type classification rules.

    Partial reroute of traffic onto a backup tunnel using predictive routing
    16.
    发明授权
    Partial reroute of traffic onto a backup tunnel using predictive routing 有权

    公开(公告)号：US11474894B2

    公开(公告)日：2022-10-18

    申请号：US16429379

    申请日：2019-06-03

    Applicant: Cisco Technology, Inc.

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

    IPC: G06F11/00 ,  G06F11/07 ,  G06N20/00 ,  H04L12/28 ,  H04L12/46 ,  H04L41/5009 ,  H04L41/5025 ,  H04L45/28

    Abstract: In one embodiment, a device predicts a failure of a first tunnel in a software-defined wide area network (SD-WAN). The device determines that no backup tunnel for the first tunnel exists in the SD-WAN that can satisfy one or more service level agreements (SLAs) of traffic on the first tunnel, were the traffic rerouted from the first tunnel onto that tunnel. The device predicts, using a machine learning model, that a backup tunnel for the first tunnel exists in the SD-WAN that can satisfy an SLA of a subset of the traffic on the first tunnel, in response to determining that no backup tunnel exists in the SD-WAN that can satisfy the one or more SLAs of the traffic on the first tunnel. The device proactively reroutes the subset of the traffic on the first tunnel onto the backup tunnel, in advance of the predicted failure of the first tunnel.

    Progressive refinement of device classifications using colored device and policy trees
    19.
    发明授权
    Progressive refinement of device classifications using colored device and policy trees 有权

    公开(公告)号：US10924353B2

    公开(公告)日：2021-02-16

    申请号：US16424574

    申请日：2019-05-29

    Applicant: Cisco Technology, Inc.

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

    IPC: G06F15/173 ,  H04L12/24 ,  H04L12/26 ,  G06N20/00

    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.

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