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    Virtual network assistant having proactive analytics and correlation engine using unsupervised ML model
    2.
    发明授权
    Virtual network assistant having proactive analytics and correlation engine using unsupervised ML model 有权

    公开(公告)号：US12170600B2

    公开(公告)日：2024-12-17

    申请号：US18224789

    申请日：2023-07-21

    Applicant: Juniper Networks, Inc.

    Inventor： Ebrahim Safavi

    IPC: H04L43/04 ,  G06N20/00 ,  H04L41/147

    Abstract: Techniques are described in which a network management system processes network event data received from the AP devices. The NMS is configured to dynamically determine, in real-time, a minimum (MIN) threshold and a maximum (MAX) threshold for expected occurrences for each event type, wherein the MIN thresholds and MAX thresholds define ranges of expected occurrences for the network events of the corresponding event types. The NMS applies an unsupervised machine learning model to the network event data to determine predicted counts of occurrences of the network events for each of the event types and identify, based on the predicted counts of occurrences and the dynamically-determined minimum threshold values and maximum threshold values for each event type, one or more of the network events as indicative of abnormal network behavior.

    Control of roaming in a wireless network using a variable mobility threshold
    3.
    发明授权
    Control of roaming in a wireless network using a variable mobility threshold 有权

    公开(公告)号：US12082296B2

    公开(公告)日：2024-09-03

    申请号：US17454200

    申请日：2021-11-09

    Applicant: Juniper Networks, Inc.

    Inventor： Mohammad Zohoorian ,  Ebrahim Safavi ,  Shmuel Shaffer

    IPC: H04W8/02 ,  H04W4/029

    CPC classification number: H04W8/02 ,  H04W4/029

    Abstract: A network management system (NMS) is configured to control roaming in a wireless network using a variable mobility threshold. For a first wireless device associated with a current location, the NMS obtains at least one performance metric of a first wireless signal received by the first wireless device at the current location from a first AP of a plurality of APs, compares the at least one parameter of the first wireless signal to at least one performance metric of a second wireless signal received by at least one other wireless device at the current location from a second AP of the plurality of APs, and triggers a roaming operation of the first wireless device from the first AP to the second AP if the comparison satisfies a mobility threshold that varies based on the at least one performance metric of the first wireless signal.

    Methods and apparatus for facilitating fault detection and/or predictive fault detection
    6.
    发明授权
    Methods and apparatus for facilitating fault detection and/or predictive fault detection 有权

    公开(公告)号：US11979329B2

    公开(公告)日：2024-05-07

    申请号：US18300918

    申请日：2023-04-14

    Applicant: Juniper Networks, Inc.

    Inventor： Ebrahim Safavi

    IPC: H04L47/2441 ,  G06N20/00 ,  H04W24/02

    CPC classification number: H04L47/2441 ,  G06N20/00 ,  H04W24/02

    Abstract: Methods and apparatus for automatically identifying and correcting faults relating to poor communications service in a wireless system, e.g., in real time, are described. The methods are well suited for use in a system with a variety of access points, e.g., wireless and/or wired access points, which can be used to obtain access to the Internet or another network. Access points (APs), which have been configured to monitor in accordance with received monitoring configuration information, e.g. on a per access point interface basis, captures messages, store captured messages, and in collaboration with network monitoring apparatus which can be in an AP or external thereto, use message sequences to determine a remedial action to be automatically taken when poor service is likely as may be predicted based on the detected message sequence between a UE and one or more APs.

    VIRTUAL NETWORK ASSISTANT HAVING PROACTIVE ANALYTICS AND CORRELATION ENGINE USING UNSUPERVISED ML MODEL
    10.
    发明申请
    VIRTUAL NETWORK ASSISTANT HAVING PROACTIVE ANALYTICS AND CORRELATION ENGINE USING UNSUPERVISED ML MODEL 有权

    公开(公告)号：US20250055772A1

    公开(公告)日：2025-02-13

    申请号：US18932165

    申请日：2024-10-30

    Applicant: Juniper Networks, Inc.

    Inventor： Ebrahim Safavi

    IPC: H04L43/04 ,  G06N20/00 ,  H04L41/147

    Abstract: Techniques are described in which a network management system processes network event data received from the AP devices. The NMS is configured to dynamically determine, in real-time, a minimum (MIN) threshold and a maximum (MAX) threshold for expected occurrences for each event type, wherein the MIN thresholds and MAX thresholds define ranges of expected occurrences for the network events of the corresponding event types. The NMS applies an unsupervised machine learning model to the network event data to determine predicted counts of occurrences of the network events for each of the event types and identify, based on the predicted counts of occurrences and the dynamically-determined minimum threshold values and maximum threshold values for each event type, one or more of the network events as indicative of abnormal network behavior.

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