APPLICATION DESCRIPTIVE LANGUAGE FOR NETWORK GATEWAYS

    公开(公告)号:US20180295210A1

    公开(公告)日:2018-10-11

    申请号:US15479484

    申请日:2017-04-05

    Abstract: In one embodiment, a device in a network determines performance characteristics of a plurality of physical interfaces of the device. The device receives an application descriptive language-based description of performance requirements of a virtualized application for execution by the device. The device selects a particular one of the plurality of physical interfaces for use by the virtualized application during execution, based on the performance requirements of the virtualized application and on the performance characteristics of the plurality of physical interfaces. The device causes the virtualized application to use the selected physical interface during execution by the device.

    SERVICE PLANE OPTIMIZATIONS WITH LEARNING-ENABLED FLOW IDENTIFICATION

    公开(公告)号:US20250168185A1

    公开(公告)日:2025-05-22

    申请号:US19034804

    申请日:2025-01-23

    Abstract: The disclosed technology relates to a process for optimizing data flow within a computer network. The technology utilizes shared memory and machine learning logic to improve the efficiency of how computing resources are used during a transmission of data packets in the computer network. The shared memory is implemented during the transmission of data packets between the data plane and the service plane so that the copying of data packets after the data packets have been received and processed by an application is not necessary. The machine learning logic is implemented during the processing of the data packets in order to adjust a frequency or extent that the data packets (and corresponding source of the data packets) need to be evaluated to ensure that malicious content is not being transmitted across the computer network.

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