High-availability switchover based on traffic metrics

    公开(公告)号:US11477117B1

    公开(公告)日:2022-10-18

    申请号:US17101128

    申请日:2020-11-23

    Abstract: A node may be an active node associated with a high-availability service and may route session traffic communicated via a first route path between a first endpoint and a second endpoint. The node may determine a first measurement of a traffic metric of the first route path and may receive, from another node associated with the high-availability service, a second measurement of the traffic metric of a second route path. The node may compare the first measurement and the second measurement and determine that the traffic metric is enhanced on the second route path relative to the first route path. The node may cause, via a high-availability link between the node and the other node, the other node to become the active node for routing the session traffic between the first endpoint and the second endpoint.

    Real-time application-driven synthetic probing

    公开(公告)号:US10958555B2

    公开(公告)日:2021-03-23

    申请号:US16354428

    申请日:2019-03-15

    Abstract: In general, the disclosure describes techniques for evaluating application quality of experience metrics over a software-defined wide area network. For instance, a network device may receive an application data packet of a data flow for an application and send a first set of probe packets, configured according to an initial probing profile, over each of one or more links. The network device may monitor the data flow to determine one or more characteristics of the data flow and generate an updated probing profile based on the one or more characteristics of the data flow. The network device may then send a second set of one or more probe packets, configured according to the updated probing profile, over each of the one or more links.

    Utilizing a model to manage resources of a network device and to prevent network device oversubscription by endpoint devices

    公开(公告)号:US11637788B2

    公开(公告)日:2023-04-25

    申请号:US17302813

    申请日:2021-05-12

    Abstract: A network device may receive configuration data identifying resource subscription thresholds associated with a plurality of respective endpoint devices and may receive traffic from the plurality of endpoint devices. The network device may process the traffic and the configuration data, with a resource allocation model, to determine that processing traffic associated with a first endpoint device requires allocating a resource of the network device, and may process the configuration data, with the resource allocation model, to identify the resource of the network device from a particular resource of the network device that is currently allocated to traffic associated with a second endpoint device. The network device may allocate the particular resource of the network device to the traffic associated with the first endpoint device, and may process the traffic associated with the first endpoint device with the particular resource to generate processed traffic.

    Satisfying service level agreement metrics for unknown applications

    公开(公告)号:US11005729B2

    公开(公告)日:2021-05-11

    申请号:US16354027

    申请日:2019-03-14

    Abstract: In general, the disclosure describes techniques for assigning traffic originating from an unknown application to a link based on known application quality of experience metrics. For instance, a network device may receive an application data packet of a data flow for an application and determine an application signature of the application data packet. The network device may determine whether the application signature matches an entry in an application signature database, and if the application signature does not match, the network device may identify a class of the application based on one or more characteristics of the application data packet. The network device may then assign the application data packet of the data flow to a first link of a plurality of links based on the class of the application and quality of experience (QoE) metrics for each link.

    High-availability switchover based on traffic metrics

    公开(公告)号:US11902157B2

    公开(公告)日:2024-02-13

    申请号:US17931298

    申请日:2022-09-12

    CPC classification number: H04L45/70 H04L43/10

    Abstract: A node may be an active node associated with a high-availability service and may route session traffic communicated via a first route path between a first endpoint and a second endpoint. The node may determine a first measurement of a traffic metric of the first route path and may receive, from another node associated with the high-availability service, a second measurement of the traffic metric of a second route path. The node may compare the first measurement and the second measurement and determine that the traffic metric is enhanced on the second route path relative to the first route path. The node may cause, via a high-availability link between the node and the other node, the other node to become the active node for routing the session traffic between the first endpoint and the second endpoint.

    SATISFYING SERVICE LEVEL AGREEMENT METRICS FOR UNKNOWN APPLICATIONS

    公开(公告)号:US20200296011A1

    公开(公告)日:2020-09-17

    申请号:US16354027

    申请日:2019-03-14

    Abstract: In general, the disclosure describes techniques for assigning traffic originating from an unknown application to a link based on known application quality of experience metrics. For instance, a network device may receive an application data packet of a data flow for an application and determine an application signature of the application data packet. The network device may determine whether the application signature matches an entry in an application signature database, and if the application signature does not match, the network device may identify a class of the application based on one or more characteristics of the application data packet. The network device may then assign the application data packet of the data flow to a first link of a plurality of links based on the class of the application and quality of experience (QoE) metrics for each link.

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