Systems and Methods for Application Clustering Based on Included Libraries and Observed Events

    公开(公告)号:US20230388346A1

    公开(公告)日:2023-11-30

    申请号:US17752987

    申请日:2022-05-25

    CPC classification number: H04L63/20 H04L63/1433 G06K9/6223

    Abstract: A system of one embodiment that provides proactive security policy suggestions for applications based on the applications' software composition and runtime behavior. The system includes a memory and a processor. The system is operable to access data that represents one or more features of an application. The application is running on one or more nodes in a computer network, and a feature indicates an application library of the node. The system is operable to apply a clustering algorithm to the data to generate a plurality of cluster sets. The system is operable to determine a security policy to apply to a cluster set of the plurality of cluster sets and apply the security policy to an application whose features are represented by the data in the cluster set.

    Predicting application and network performance

    公开(公告)号:US10708152B2

    公开(公告)日:2020-07-07

    申请号:US15467788

    申请日:2017-03-23

    Abstract: An application and network analytics platform can capture comprehensive telemetry from servers and network devices operating within a network. The platform can discover flows running through the network, applications generating the flows, servers hosting the applications, computing resources provisioned and consumed by the applications, and network topology, among other insights. The platform can generate various models relating one set of application and network performance metrics to another. For example, the platform can model application latency as a function of computing resources provisioned to and/or actually used by the application, its host's total resources, and/or the distance of its host relative to other elements of the network. The platform can change the model by moving, removing, or adding elements to predict how the change affects application and network performance. In some situations, the platform can automatically act on predictions to improve application and network performance.

    Predicting Application And Network Performance

    公开(公告)号:US20180278496A1

    公开(公告)日:2018-09-27

    申请号:US15467788

    申请日:2017-03-23

    Abstract: An application and network analytics platform can capture comprehensive telemetry from servers and network devices operating within a network. The platform can discover flows running through the network, applications generating the flows, servers hosting the applications, computing resources provisioned and consumed by the applications, and network topology, among other insights. The platform can generate various models relating one set of application and network performance metrics to another. For example, the platform can model application latency as a function of computing resources provisioned to and/or actually used by the application, its host's total resources, and/or the distance of its host relative to other elements of the network. The platform can change the model by moving, removing, or adding elements to predict how the change affects application and network performance. In some situations, the platform can automatically act on predictions to improve application and network performance.

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