Machine-Learned Prediction of Network Resources and Margins

    公开(公告)号:US20210273858A1

    公开(公告)日:2021-09-02

    申请号:US16972516

    申请日:2019-01-07

    Applicant: Google LLC

    Abstract: Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for network topology analysis and prediction. The disclosed technology can perform operations including receiving network data including information associated with a network including a plurality of nodes respectively associated with resource availability and resource usage. Resource availability can be associated with an amount of a resource available for distribution from a portion of the plurality of nodes at an initial time interval. Further, resource usage can be associated with usage of the resource from the portion of the plurality of nodes at the initial time interval. The network topology, resource availability, and resource usage for a portion of the plurality of nodes at a time interval subsequent to the initial time interval can be determined. Furthermore, one or more predictions for the portion of the plurality of nodes can be generated based on the network data.

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