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    Model interpretability using proxy features
    122.
    发明授权
    Model interpretability using proxy features 有权

    公开(公告)号：US11507887B2

    公开(公告)日：2022-11-22

    申请号：US16832090

    申请日：2020-03-27

    Applicant: Cisco Technology, Inc.

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

    IPC: G06F11/00 ,  G06N20/00 ,  G06N5/04 ,  G06N20/20 ,  G06F11/07

    Abstract: In one embodiment, a service identifies a set of attributes associated with a first machine learning model trained to make an inference about a computer network. The service obtains labels for each of the set of attributes, each label indicating whether its corresponding attribute is a probable cause of the inference. The service maps input features of the first machine learning model to those attributes in the set of attributes that were labeled as probable causes of the inference. The service generates a second machine learning model in part by using the mapped attributes to form a set of input features for the second machine learning model, whereby the input features of the first machine learning model and the input features of the second machine learning model differ.

    On-the-fly SD-WAN tunnel creation for application-driven routing
    123.
    发明授权
    On-the-fly SD-WAN tunnel creation for application-driven routing 有权

    公开(公告)号：US11477112B2

    公开(公告)日：2022-10-18

    申请号：US17196128

    申请日：2021-03-09

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L45/02 ,  H04L45/42 ,  H04L43/16 ,  H04L45/302 ,  H04L12/46 ,  H04L45/12

    Abstract: In one embodiment, a controller obtains data indicative of an application experience metric for an online application having application traffic conveyed via the network. The controller predicts the application experience metric that would result from a first edge router conveying its application traffic to the online application via a second edge router that is not currently connected to the first edge router via a tunnel, based on the obtained data. The controller makes a determination that the first edge router should route its application traffic to the online application via a tunnel between the first edge router and the second edge router, based on the predicted application experience metric. The controller causes a tunnel to be established in the network between the first edge router and the second edge router, whereby the first edge router routes its application traffic to the online application via the second edge router.

    PROBE FUSION FOR APPLICATION-DRIVEN ROUTING
    124.
    发明申请
    PROBE FUSION FOR APPLICATION-DRIVEN ROUTING 有权

    公开(公告)号：US20220278922A1

    公开(公告)日：2022-09-01

    申请号：US17188287

    申请日：2021-03-01

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L12/729 ,  H04L12/26

    Abstract: In one embodiment, a device identifies a set of probes configured between a first endpoint and a second endpoint serving an online application. Each probe has one or more characteristics and is associated with a different segment between the endpoints. The device selects a subset of the set whose associated segments are along a plurality of paths between the endpoints, based on a match between the online application and the one or more characteristics of probes in the set of probes. The device approximates a performance metric for each of the plurality of paths by aggregating performance metrics measured by probes in the subset of probes that are associated with segments of that path. The device causes traffic to be routed between the endpoints via a particular path in the plurality of paths, based on the performance metric of the particular path.

    Globally avoiding simultaneous reroutes in a network
    125.
    发明授权
    Globally avoiding simultaneous reroutes in a network 有权

    公开(公告)号：US11368401B1

    公开(公告)日：2022-06-21

    申请号：US17153633

    申请日：2021-01-20

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L1/00 ,  H04L47/127 ,  H04L47/2475 ,  H04L47/28

    Abstract: In one embodiment, a device obtains, from a plurality of routers in a network, a set of routing patches that collectively specify a first set of paths in the network, a second set of paths in the network, and time periods during which traffic is to be rerouted from one of the first set of paths to one of the second set of paths in the network. The device identifies overlapping path segments of the second set of paths in the network. The device makes, based in part on the overlapping path segments, a prediction that two or more of the set of routing patches will cause congestion along paths with overlapping path segments. The device adjusts, based on the prediction, the set of routing patches, to avoid causing the congestion.

    CONGESTION DETECTION USING MACHINE LEARNING ON ARBITRARY END-TO-END PATHS
    126.
    发明申请
    CONGESTION DETECTION USING MACHINE LEARNING ON ARBITRARY END-TO-END PATHS 有权

    公开(公告)号：US20220191142A1

    公开(公告)日：2022-06-16

    申请号：US17122755

    申请日：2020-12-15

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L12/801 ,  H04L12/911 ,  H04L12/707 ,  H04L12/717 ,  G06K9/62 ,  G06N20/00

    Abstract: In one embodiment, a device predicts a range of bitrates expected to be required by one or more applications associated with traffic conveyed via a particular path in a network. The device obtains telemetry data indicative of observed bitrates associated with the traffic conveyed via the particular path in the network. The device identifies, a presence of congestion along the particular path in the network, by comparing the observed bitrates to the range of bitrates expected to be required by the one or more applications. The device causes at least a portion of the traffic to be re-routed from the particular path to a second path in the network, when the device identifies the presence of congestion along the particular path.

    COMPRESSED TRANSMISSION OF NETWORK DATA FOR NETWORKING MACHINE LEARNING SYSTEMS
    129.
    发明申请
    COMPRESSED TRANSMISSION OF NETWORK DATA FOR NETWORKING MACHINE LEARNING SYSTEMS 有权

    公开(公告)号：US20210281491A1

    公开(公告)日：2021-09-09

    申请号：US16808896

    申请日：2020-03-04

    Applicant: Cisco Technology, Inc.

    Inventor： Mukund Yelahanka Raghuprasad ,  David Tedaldi ,  Vinay Kumar Kolar ,  Jean-Philippe Vasseur

    IPC: H04L12/24 ,  G06N3/08 ,  G06K9/62 ,  H04L12/851

    Abstract: In one embodiment, a service receives telemetry data indicative of a plurality of performance metrics captured in a network. The service jointly trains, using the received telemetry data, a compression model and an inference model, the compression model being a first machine learning model trained to convert the telemetry data into a compressed representation of the telemetry data and the inference model being a second machine learning model trained to take the compressed representation of the telemetry data as input and apply a classification label to it. The service deploys the compression model to the network. The service receives compressed telemetry data generated by the compression model deployed to the network. The service uses the inference model to classify the compressed telemetry data generated by the compression model deployed to the network.

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