SYSTEMS AND METHODS FOR CONTEXTUAL NETWORK ASSURANCE BASED ON CHANGE AUDITS

    公开(公告)号:US20220014444A1

    公开(公告)日:2022-01-13

    申请号:US17482408

    申请日:2021-09-22

    Abstract: Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

    Systems and methods for contextual network assurance based on change audits

    公开(公告)号:US11165658B2

    公开(公告)日:2021-11-02

    申请号:US16562073

    申请日:2019-09-05

    Abstract: Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

    SYSTEMS AND METHODS FOR CONTEXTUAL NETWORK ASSURANCE BASED ON CHANGE AUDITS

    公开(公告)号:US20210075689A1

    公开(公告)日:2021-03-11

    申请号:US16562073

    申请日:2019-09-05

    Abstract: Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

    Resource orchestration for multiple services

    公开(公告)号:US11991090B2

    公开(公告)日:2024-05-21

    申请号:US17969345

    申请日:2022-10-19

    CPC classification number: H04L47/80

    Abstract: A method of orchestrating one or more radio resources among various services executing within a container. The method includes obtaining, by an orchestration engine executing on a network device, a request, from a first service of a plurality of services, for use of a physical/hardware resource that connects a container running on the network device to a network. The request from the first service has a particular priority. The plurality of services execute within the container. The method further includes determining whether to connect the first service to the network via the physical/hardware resource based on the priority and an availability status of the physical/hardware resource and establishing, at a kernel level, a connection between the first service and the physical/hardware resource based on the determining.

    Automated power-aware green radio resource management (RRM)

    公开(公告)号:US11019565B2

    公开(公告)日:2021-05-25

    申请号:US16548727

    申请日:2019-08-22

    Abstract: The disclosed technology relates to a process for managing power consumption of Wi-Fi access points. The solution is composed of three parts. A first part creates power profiles for each of the switches having access points within a computer network that detail how power consumption for an access point can be modified based on changing one or more elements associated with the access point. The second part creates a time-based radio constraint profile that details power requirements for an access point based on client devices connected to the access point within a pre-defined area to ensure that each client device can connect and stay connected with the access point. The third part utilizes machine learning to generate a model that identifies optimal settings for the access point in order to achieve a specific level of power consumption for the access point.

    AUTOMATED POWER-AWARE GREEN RADIO RESOURCE MANAGEMENT (RRM)

    公开(公告)号:US20210058859A1

    公开(公告)日:2021-02-25

    申请号:US16548727

    申请日:2019-08-22

    Abstract: The disclosed technology relates to a process for managing power consumption of Wi-Fi access points. The solution is composed of three parts. A first part creates power profiles for each of the switches having access points within a computer network that detail how power consumption for an access point can be modified based on changing one or more elements associated with the access point. The second part creates a time-based radio constraint profile that details power requirements for an access point based on client devices connected to the access point within a pre-defined area to ensure that each client device can connect and stay connected with the access point. The third part utilizes machine learning to generate a model that identifies optimal settings for the access point in order to achieve a specific level of power consumption for the access point.

Patent Agency Ranking