Determining an organizational level network topology

    公开(公告)号:US11991046B2

    公开(公告)日:2024-05-21

    申请号:US17930367

    申请日:2022-09-07

    CPC classification number: H04L41/12 H04L41/22 H04L63/029

    Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

    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.

    WIDE AREA NETWORK ISSUE PREDICTION BASED ON DETECTION OF SERVICE PROVIDER CONNECTION SWAPPING

    公开(公告)号:US20250158894A1

    公开(公告)日:2025-05-15

    申请号:US18943614

    申请日:2024-11-11

    Abstract: Techniques are described for predicting a wide area network (WAN) issue based on detection of service provider connection swapping. A cloud-based network management system (NMS) obtains connection event data for one or more network access server (NAS) devices at a site, where each event included in the connection event data comprises a connection or disconnection event of a connection session provided by a service provider. The NMS detects a number of connection swaps in the connection event data over a time window, where a connection swap includes a change from a first connection session provided by a first service provider to a second connection session provided by a second service provider. Based on the detected number of connection swaps satisfying a threshold, the NMS predicts a root cause of the connection swaps as a WAN issue and generates a notification of the predicted root cause of the connection swaps.

    CONVERSATIONAL ASSISTANT FOR TROUBLESHOOTING A SITE

    公开(公告)号:US20240137289A1

    公开(公告)日:2024-04-25

    申请号:US18343914

    申请日:2023-06-28

    CPC classification number: H04L41/22 H04L41/0609 H04L41/0631 H04L41/5009

    Abstract: A network management system (NMS) is described that includes one or more processors coupled to memory storing network data. The one or more processors are configured to receive a query identifying a site and determine, based on the network data, a first set of troubleshooting issues for a wide area network (WAN) deployment at the site, a second set of troubleshooting issues for a wireless deployment at the site, and a third set of troubleshooting issues for a wired deployment at the site. The one or more processors are configured to determine, based on a user experience metric, a first troubleshooting issue from the first set of troubleshooting issues for the WAN deployment, a second troubleshooting issue from the second set of troubleshooting issues for the wireless deployment, and a third troubleshooting issue from the third set of troubleshooting issues for the wired deployment.

    DETERMINING AN ORGANIZATIONAL LEVEL NETWORK TOPOLOGY

    公开(公告)号:US20240113944A1

    公开(公告)日:2024-04-04

    申请号:US18541478

    申请日:2023-12-15

    CPC classification number: H04L41/12 H04L41/22 H04L63/029

    Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

    Determining an organizational level network topology

    公开(公告)号:US11902100B2

    公开(公告)日:2024-02-13

    申请号:US17930367

    申请日:2022-09-07

    CPC classification number: H04L41/12 H04L41/22 H04L63/029

    Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

    DETERMINING AN ORGANIZATIONAL LEVEL NETWORK TOPOLOGY

    公开(公告)号:US20230231773A1

    公开(公告)日:2023-07-20

    申请号:US17930367

    申请日:2022-09-07

    CPC classification number: H04L41/12 H04L41/22 H04L63/029

    Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

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