IDENTIFYING BOGON ADDRESS SPACES
    11.
    发明申请
    IDENTIFYING BOGON ADDRESS SPACES 审中-公开
    识别BOGON地址空间

    公开(公告)号:US20160359699A1

    公开(公告)日:2016-12-08

    申请号:US15171836

    申请日:2016-06-02

    Abstract: Systems, methods, and computer-readable media for identifying bogon addresses. A system can obtain an indication of address spaces in a network. The indication can be based on route advertisements transmitted by routers associated with the network. The system can receive a report generated by a capturing agent deployed on a host. The report can identify a flow captured by the capturing agent at the host. The system can identify a network address associated with the flow and, based on the indication of address spaces, the system can determine whether the network address is within the address spaces in the network. When the network address is not within the address spaces in the network, the system can determine that the network address is a bogon address. When the network address is within the address spaces in the network, the system can determine that the network address is not a bogon address.

    Abstract translation: 用于识别浮标地址的系统,方法和计算机可读介质。 系统可以获得网络中地址空间的指示。 该指示可以基于与网络相关联的路由器发送的路由通告。 系统可以接收由主机部署的捕获代理生成的报告。 报告可以识别主机捕获代理捕获的流量。 系统可以识别与流相关联的网络地址,并且基于地址空间的指示,系统可以确定网络地址是否在网络中的地址空间内。 当网络地址不在网络中的地址空间内时,系统可以确定网络地址是一个浮标地址。 当网络地址在网络中的地址空间内时,系统可以确定网络地址不是一个浮标地址。

    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.

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