Globally avoiding simultaneous reroutes in a network

    公开(公告)号:US11777854B2

    公开(公告)日:2023-10-03

    申请号:US17829435

    申请日:2022-06-01

    CPC classification number: H04L47/127 H04L47/2475 H04L47/28

    Abstract: In one embodiment, a device obtains, from a plurality of routers in a network, a set of routing policies that collectively specify a first set of paths in the network, a second set of paths in the network, and time periods during which traffic is to be rerouted from one of the first set of paths to one of the second set of paths in the network. The device identifies overlapping path segments of the second set of paths in the network. The device makes, based in part on the overlapping path segments, a prediction that two or more of the set of routing policies will cause congestion along paths with overlapping path segments. The device adjusts, based on the prediction, the set of routing policies, to avoid causing the congestion.

    QOS configuration update based on behavioral application correlation

    公开(公告)号:US11729097B2

    公开(公告)日:2023-08-15

    申请号:US17242708

    申请日:2021-04-28

    CPC classification number: H04L45/70 H04L43/08

    Abstract: In one embodiment, a device obtains behavioral metrics for application traffic in a network for a plurality of applications. The device identifies a first application and a second application from among the plurality of applications as fate sharing applications, based on a correlation between the behavioral metrics for their application traffic. The device generates a configuration change for the network that would prevent the first application and the second application from being fate sharing applications, when application traffic for the first application negatively affects the behavioral metrics for the application traffic of the second application. The device causes the configuration change to be implemented in the network.

    DISTRIBUTED PREDICTIVE ROUTING USING LIGHTWEIGHT STATE TRACKING

    公开(公告)号:US20230188456A1

    公开(公告)日:2023-06-15

    申请号:US17548985

    申请日:2021-12-13

    CPC classification number: H04L45/08 H04L45/123 H04L45/302 H04L45/22 H04L45/14

    Abstract: In one embodiment, a device computes states of a network path associated with an online application by representing time series of telemetry data regarding the network path as discrete values. The device generates state trajectories from the states of the network path computed by the device. The device selects one or more sub-sequences of the state trajectories based on prediction performance metrics that represent how well the one or more sub-sequences are able to predict a failure condition of the network path. The device causes a networking entity to use the one or more sub-sequences of the state trajectories to perform predictive routing for the network path.

    INTERPRETABLE FORECASTING USING PATH STATE TRANSITIONS IN APPLICATION DRIVEN PREDICTIVE ROUTING

    公开(公告)号:US20230129290A1

    公开(公告)日:2023-04-27

    申请号:US17507448

    申请日:2021-10-21

    Abstract: In one embodiment, a device computes states of a network path associated with an online application by representing time series of telemetry data regarding the network path as discrete values. The device makes, using a machine learning model, a prediction that a quality of experience metric for the online application will be degraded, based on a particular transition pattern of the states being observed for the network path. The device determines one or more performance metrics for the machine learning model with respect to the network path. The device provides an indication of the particular transition pattern of the states for display, based in part on the one or more performance metrics for the machine learning model with respect to the network path.

    ROOT-CAUSING SAAS ENDPOINTS FOR NETWORK ISSUES IN APPLICATION-DRIVEN PREDICTIVE ROUTING

    公开(公告)号:US20230018772A1

    公开(公告)日:2023-01-19

    申请号:US17379586

    申请日:2021-07-19

    Abstract: In one embodiment, a device obtains telemetry data for network paths to a plurality of servers for an online application. The telemetry data includes application experience metrics based on feedback provided by users of the online application. The device decomposes the telemetry data for the network paths from different vantage points. The device also identifies, using the decomposed telemetry data, a particular endpoint of the online application as a cause of application experience degradation for the online application. The device provides an alert indicative of the particular endpoint of the online application being the cause of quality of experience degradation for the online application.

Patent Agency Ranking