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    SCORING POLICIES FOR PREDICTIVE ROUTING SUGGESTIONS
    41.
    发明申请
    SCORING POLICIES FOR PREDICTIVE ROUTING SUGGESTIONS 有权

    公开(公告)号：US20220038370A1

    公开(公告)日：2022-02-03

    申请号：US16944334

    申请日：2020-07-31

    Applicant: Cisco Technology, Inc.

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

    IPC: H04L12/715 ,  H04L12/751 ,  H04L12/24

    Abstract: In one embodiment, a device makes a determination that a first predictive routing policy generated by a predictive routing engine for a network would have performed better than a preexisting routing policy that is active in the network. The device adjusts, based on the determination, a level of trust associated with the predictive routing engine. The device obtains information regarding a second predictive routing policy generated by the predictive routing engine for the network. The device activates the second predictive routing policy in the network, based on the level of trust associated with the predictive routing engine.

    DETECTING TRANSIENT VS. PERPETUAL NETWORK BEHAVIORAL PATTERNS USING MACHINE LEARNING
    44.
    发明申请
    DETECTING TRANSIENT VS. PERPETUAL NETWORK BEHAVIORAL PATTERNS USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20190238421A1

    公开(公告)日：2019-08-01

    申请号：US15880600

    申请日：2018-01-26

    Applicant: Cisco Technology, Inc.

    Inventor： Vinay Kumar Kolar ,  Jean-Philippe Vasseur ,  Vikram Kumaran ,  Santosh Ghanshyam Pandey

    IPC: H04L12/24 ,  H04L12/26 ,  G06N99/00

    Abstract: In one embodiment, a network assurance service that monitors a network detects a pattern of network measurements from the network that are associated with a particular network problem. The network assurance service tracks characteristics of the detected pattern over time. The network assurance service uses the tracked characteristics of the detected pattern over time as input to a machine learning-based pattern analyzer. The pattern analyzer is configured to determine whether the detected pattern is a perpetual or transient pattern in the network, and the pattern analyzer is further configured to detect anomalies in the characteristics of the pattern. The network assurance service initiates a change to the network based on an output of the machine learning-based pattern analyzer.

    PREDICTING WIRELESS ACCESS POINT RADIO FAILURES USING MACHINE LEARNING
    45.
    发明申请
    PREDICTING WIRELESS ACCESS POINT RADIO FAILURES USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20190213504A1

    公开(公告)日：2019-07-11

    申请号：US15864578

    申请日：2018-01-08

    Applicant: Cisco Technology, Inc.

    Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar

    IPC: G06N99/00 ,  G06N5/02 ,  H04W88/08 ,  H04L12/24

    Abstract: In one embodiment, a network assurance system that monitors a network forms a cluster of similarly behaving wireless access points (APs). The cluster includes APs associated with different software versions. The network assurance system trains a machine learning-based failure prediction model for the cluster based on a set of features of the APs in the cluster. The network assurance system proactively triggers a client in the network to roam from a first AP to a second AP, based on the failure prediction model predicting a failure of the first AP. The network assurance system quarantines the failure prediction model when a new software version is associated with one or more of the APs.

    User-assisted training data denoising for predictive systems
    49.
    发明授权
    User-assisted training data denoising for predictive systems 有权

    公开(公告)号：US11979311B2

    公开(公告)日：2024-05-07

    申请号：US17547718

    申请日：2021-12-10

    Applicant: Cisco Technology, Inc.

    Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar

    IPC: H04L45/00 ,  H04L41/5025 ,  H04L43/0852 ,  H04L45/02

    CPC classification number: H04L45/08 ,  H04L41/5025 ,  H04L43/0852

    Abstract: In one embodiment, a device receives, via a user interface, an indication of what is considered noise within a time series of a path performance metric. The device selects, based on the indication, a particular denoising filter to be applied to telemetry data obtained from one or more network paths regarding the path performance metric. The device forms model training data by applying the particular denoising filter to telemetry data obtained from one or more network paths regarding the path performance metric. The device trains, using the model training data, a prediction model to predict when a given network path will experience a failure condition.

    SASE POP SELECTION BASED ON CLIENT FEATURES
    50.
    发明公开
    SASE POP SELECTION BASED ON CLIENT FEATURES 审中-公开

    公开(公告)号：US20230318964A1

    公开(公告)日：2023-10-05

    申请号：US17712423

    申请日：2022-04-04

    Applicant: Cisco Technology, Inc.

    Inventor： Vinay Kumar Kolar ,  Jean-Philippe Vasseur ,  Michal Wladyslaw Garcarz

    IPC: H04L45/12 ,  H04L45/42 ,  H04L45/00

    CPC classification number: H04L45/123 ,  H04L45/126 ,  H04L45/42 ,  H04L45/14

    Abstract: In one embodiment, a device obtains client attribute data for clients of an online application that access the online application via a plurality of points of presence in a network. The device forms a performance model that models an application experience metric for the online application as a function of the client attribute data for each of the plurality of points of presence. The device selects, using the performance model, a particular point of presence from among the plurality of points of presence to be used by a particular client to access the online application, based on its client attribute data. The device causes the particular client to access the online application via the particular point of presence selected by the device using the performance model.

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