Predictive secure access service edge

    公开(公告)号:US11539673B2

    公开(公告)日:2022-12-27

    申请号:US17308238

    申请日:2021-05-05

    Abstract: In one embodiment, a device obtains telemetry data that results from an edge router sending probes to a cloud-hosted application via a plurality of points of presence. The device makes, based on the telemetry data, predictions as to whether use of each of the plurality of points of presence by the edge router to access the cloud-hosted application will result in a violation of a service level agreement. The device selects, based on the predictions, a particular point of presence from among the plurality of points of presence that the edge router should use to access the cloud-hosted application during a time window. The device causes the edge router to access the cloud-hosted application via the particular point of presence during the time window.

    Probe fusion for application-driven routing

    公开(公告)号:US11528218B2

    公开(公告)日:2022-12-13

    申请号:US17188287

    申请日:2021-03-01

    Abstract: In one embodiment, a device identifies a set of probes configured between a first endpoint and a second endpoint serving an online application. Each probe has one or more characteristics and is associated with a different segment between the endpoints. The device selects a subset of the set whose associated segments are along a plurality of paths between the endpoints, based on a match between the online application and the one or more characteristics of probes in the set of probes. The device approximates a performance metric for each of the plurality of paths by aggregating performance metrics measured by probes in the subset of probes that are associated with segments of that path. The device causes traffic to be routed between the endpoints via a particular path in the plurality of paths, based on the performance metric of the particular path.

    Using a flappiness metric to limit traffic disruption in wide area networks

    公开(公告)号:US11343171B2

    公开(公告)日:2022-05-24

    申请号:US16856399

    申请日:2020-04-23

    Abstract: In one embodiment, a device in a network obtains tunnel flappiness metrics associated with a particular tunnel in the network exhibiting flapping. The device makes, based on the tunnel flappiness metrics, a prediction that the particular tunnel is going to flap. The prediction is made using a machine learning model. The device proactively reroutes, based on the prediction, traffic from the particular tunnel onto an alternate tunnel, prior to the particular tunnel flapping. The device evaluates performance of the alternate tunnel, after proactively rerouting the traffic from the particular tunnel onto the alternate tunnel.

    REVERTING ROUTING DECISIONS MADE BASED ON INCORRECT NETWORK PREDICTIONS

    公开(公告)号:US20220060393A1

    公开(公告)日:2022-02-24

    申请号:US16997412

    申请日:2020-08-19

    Abstract: In one embodiment, a networking device reroutes traffic in a network from a first path to a second path, based on a prediction that the first path will not satisfy a service level agreement associated with the traffic. The networking device enters a fast monitoring state during which the networking device performs fast probing of the first path and of the second path onto which the traffic was rerouted. The networking device makes, based on the fast probing, a determination as to whether the first path would have violated the service level agreement and whether the second path violates the service level agreement. The networking device enacts a routing decision for the traffic by applying a routing policy to the determination.

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