Minimizing customer impact during access migrations

    公开(公告)号:US12177111B2

    公开(公告)日:2024-12-24

    申请号:US17805535

    申请日:2022-06-06

    Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for minimizing customer impact during network access migrations. For instance, in one example, a method includes detecting a change in an access network that affects a first network circuit connecting a customer premises to a first provider edge router and provisioning a second network circuit in response to the detecting, wherein the provisioning comprises taking an action to preserve a wide area network internet protocol address of the customer premises on the first network circuit in the second network circuit.

    FACILITATING MULTIPLE STEP NETWORK CONFIGURATION ACTIVATION AUTOMATION BASED ON PARALLEL PROCESSING

    公开(公告)号:US20230145797A1

    公开(公告)日:2023-05-11

    申请号:US17521246

    申请日:2021-11-08

    CPC classification number: H04L12/4641 H04L41/0806

    Abstract: Facilitating multiple step network configuration activation automation based on parallel processing is provided herein. Operations of a system include based on a determination that a network activation is to be implemented on target equipment, parsing the network activation into a first group of initialization portion actions and a second group of active target actions. The operations also can include implementing, via first parallel processing, the first group of initialization portion actions on the target equipment. Further, the operations can include, based on a second determination of a completion of the implementing of the first group of initialization portion actions, implementing, via second parallel processing, the second group of active target actions on the target equipment during an implementation period. The target equipment are equipment of a virtual local area network.

    Predictive zero-touch network and systems reconciliation using artificial intelligence and/or machine learning

    公开(公告)号:US12267213B2

    公开(公告)日:2025-04-01

    申请号:US17964510

    申请日:2022-10-12

    Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of one or more historical operating characteristics of a network; obtaining second information indicative of one or more current operating characteristics of the network; comparing, via a first computer-implemented process that requires no manual intervention, the first information to the second information to make a prediction of a potential future network event, resulting in a predicted future network event; classifying, via a second computer-implemented process that requires no manual intervention, the predicted future network event into one of a plurality of classes of network events; and responsive to the classifying, facilitating, via a third computer-implemented process that requires no manual intervention, an action to at least partially avoid an occurrence of the predicted future network event. Other embodiments are disclosed.

    PREDICTIVE ZERO-TOUCH NETWORK AND SYSTEMS RECONCILIATION USING ARTIFICIAL INTELLIGENCE AND/OR MACHINE LEARNING

    公开(公告)号:US20240129201A1

    公开(公告)日:2024-04-18

    申请号:US17964510

    申请日:2022-10-12

    CPC classification number: H04L41/147 H04L41/12 H04L63/1458

    Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of one or more historical operating characteristics of a network; obtaining second information indicative of one or more current operating characteristics of the network; comparing, via a first computer-implemented process that requires no manual intervention, the first information to the second information to make a prediction of a potential future network event, resulting in a predicted future network event; classifying, via a second computer-implemented process that requires no manual intervention, the predicted future network event into one of a plurality of classes of network events; and responsive to the classifying, facilitating, via a third computer-implemented process that requires no manual intervention, an action to at least partially avoid an occurrence of the predicted future network event. Other embodiments are disclosed.

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