Application records using session information

    公开(公告)号:US11711279B2

    公开(公告)日:2023-07-25

    申请号:US17452344

    申请日:2021-10-26

    CPC classification number: H04L43/067 H04L43/062 H04L45/306 H04L67/14

    Abstract: Techniques are disclosed for the identification of applications from communication sessions of network traffic between client devices and the generation of application-specific metrics for network traffic associated with the applications. In one example, a router obtains metrics for a plurality of packets. The router determines a session of a plurality of sessions associated with each packet. For each determined session, the router generates metrics for the session from the metrics of the packets associated with the session and determines an application of a plurality of applications associated with the session. For each determined application, the router generates metrics for the application from the metrics of the sessions associated with the application and transmits, to a device, the metrics for the application. In some examples, the router generates the metrics for each application on a per-client, per-next-hop, or per-traffic class basis.

    NETWORK SYSTEM FAULT RESOLUTION VIA A MACHINE LEARNING MODEL

    公开(公告)号:US20210306201A1

    公开(公告)日:2021-09-30

    申请号:US16835757

    申请日:2020-03-31

    Abstract: Disclosed are embodiments for automatically resolving faults in a complex network system. Some embodiments monitor one or more of system operational parameter values and message exchanges between network components. A machine learning model detects a fault in the complex network system, and an action is selected based on a cause of the fault. After the action is applied to the complex network system, additional monitoring is performed to either determine the fault has been resolved or additional actions are to be applied to further resolve the fault.

    Third-party service and application data for quality of service

    公开(公告)号:US12282409B2

    公开(公告)日:2025-04-22

    申请号:US18148938

    申请日:2022-12-30

    Abstract: Techniques are disclosed for a network management system (NMS) that performs quality of service (QoS) monitoring and troubleshooting of user experience issues occurring outside of a network managed by the NMS using data obtained from third-party sources. For example, an NMS obtains third-party data of a third-party application server or third-party service provider server from a third-party monitoring vendor. The NMS identifies a user experience issue indicated by the third-party data and stitches the third-party data to network data received from network devices. The NMS determines a root cause or a remedial action of the user experience issue based at least on the network data received from the one or more network devices. The NMS generates a notification for presentation to an administrator device which identifies the root cause or the remedial action of the user experience issue.

    Network management actions based on access point classification

    公开(公告)号:US12137024B2

    公开(公告)日:2024-11-05

    申请号:US18453872

    申请日:2023-08-22

    Abstract: An example system includes access point (AP) devices configured to provide a wireless network at a site; and a network management system that stores network data received from the AP devices, the network data collected by the AP devices or client devices associated with the wireless network, and one or more processors configured to: receive a time series of SLE metrics based on the network data, determine, based on the time series, whether a network event has occurred, in response to a determination that a network event has occurred, determine a root cause for the network event, and in response to a determination that the root cause of the network event is associated with an AP device, determine a classification of the AP device, and determine a network management action for the AP device based on the network event and the classification of the AP device.

    AUTOMATICALLY TROUBLESHOOTING AND REMEDIATING NETWORK ISSUES VIA CONNECTED NEIGHBORS

    公开(公告)号:US20240291706A1

    公开(公告)日:2024-08-29

    申请号:US18654892

    申请日:2024-05-03

    CPC classification number: H04L41/0627 H04L41/0631 H04L41/0654 H04L41/12

    Abstract: An example system is configured to: identify, using network data for a plurality of network devices, a first network device of the plurality of network devices with which a network connection has a connectivity issue; identify, based on a network representation generated from the network data, one or more second network devices from the plurality of network devices that are connected to the first network device; identify a root cause of the connectivity issue based on analysis of the network connection with the first network device using the network data; and send, based on the identified root cause of the connectivity issue, to at least one of the one or more second network devices, instructions for the first network device to perform an action to remediate the connectivity issue, wherein the at least one of the one or more second network devices communicates the instructions to the first network device.

    Detecting network events having adverse user impact

    公开(公告)号:US12021722B2

    公开(公告)日:2024-06-25

    申请号:US17812676

    申请日:2022-07-14

    CPC classification number: H04L43/0876 H04L41/0631 H04L43/062 H04L45/48

    Abstract: A method includes receiving, by a network management system, network data from a plurality of network devices configured to provide a network at a site; receiving, by the processing circuitry, user impact data from a plurality of client devices that access the network at the site; determining, based on the network data, a pattern of one or more network events occurring over time; correlating in time the pattern of the one or more network events to an adverse user impact event indicated by the user impact data received from the plurality of client devices; and determining, in response to the correlating, an instance of overwhelming network traffic having an adverse user impact. In some examples, the network data includes network traffic impact data, such as a number of packets dropped at a switch port due to congestion.

    Adaptable software defined wide area network application-specific probing

    公开(公告)号:US11811638B2

    公开(公告)日:2023-11-07

    申请号:US17377078

    申请日:2021-07-15

    CPC classification number: H04L43/12 H04L43/026 H04L43/028

    Abstract: Systems, devices and techniques for an adaptive application-specific probing scheme are disclosed. An example network device includes memory configured to store a network address and probe protocol usable for probing a first network device associated with a source of an application, and one or more processors configured to determine a network address and probe protocol usable for probing the first network device, wherein the first network device comprises a server that is responsive to the probing, the server executing the application for the data flow, or a closest network device, to the server, that is responsive to the probing. The one or more processors are also configured to send to a second network device at a location serviced by the application, a message specifying the network address and probe protocol usable for probing the first network device.

    PREDICTING NETWORK ISSUES BASED ON HISTORICAL DATA

    公开(公告)号:US20230261930A1

    公开(公告)日:2023-08-17

    申请号:US18155665

    申请日:2023-01-17

    CPC classification number: H04L41/0627 H04L41/16 H04L41/0886

    Abstract: Techniques are described for monitoring application performance in a computer network. For example, a network management system (NMS) includes a memory storing path data received from a plurality of network devices, the path data reported by each network device of the plurality of network devices for one or more logical paths of a physical interface from the given network device over a wide area network (WAN). Additionally, the NMS may include processing circuitry in communication with the memory and configured to: determine, based on the path data, one or more application health assessments for one or more applications, wherein the one or more application health assessments are associated with one or more application time periods for a site, and in response to determining at least one failure state, output a notification including identification of a root cause of the at least one failure state.

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