ANOMALY DETECTION AND REPORTING IN A NETWORK ASSURANCE APPLIANCE

    公开(公告)号:US20190081871A1

    公开(公告)日:2019-03-14

    申请号:US15702374

    申请日:2017-09-12

    CPC classification number: H04L43/04 H04L41/142 H04L41/22 H04L43/0823

    Abstract: Systems, methods, and computer-readable media for detecting and reporting anomalies in a network environment for providing network assurance. In some embodiments, a system can determine confidence scores for at least one value of parameters of a network environment defining network events occurring in the network environment. The confidences scores can indicate a frequency that the defined network events have a specific event state. The confidence scores can be monitored to detect an anomaly in the network environment. In response to detecting the anomaly in the network environment, the system can determine a relevant network state of the network environment. The relevant network state of the network environment and the anomaly in the network environment can be presented to a user.

    AUTOMATICALLY DETERMINING AN OPTIMAL AMOUNT OF TIME FOR ANALYZING A DISTRIBUTED NETWORK ENVIRONMENT

    公开(公告)号:US20180367411A1

    公开(公告)日:2018-12-20

    申请号:US15792680

    申请日:2017-10-24

    Abstract: Aspects of the technology provide solutions for determining a time period (“epoch”) required to monitor or analyze a tenant network. Some implementations of the technology include a process for making automatic epoch determinations, which includes steps for identifying one or more network parameters for a tenant network, analyzing the tenant network using the network parameters to discover one or more configuration settings of the tenant network, and determining a first epoch for the tenant network, the first epoch corresponding with a period of time to complete analysis of the tenant network using the network parameters. In some aspects, the process can further include steps for generating a tenant profile for the tenant network, the tenant profile based on the network parameters, the first epoch, and the one or more configuration settings of the tenant network. Systems and machine-readable media are also provided.

    FAULT LOCALIZATION IN LARGE-SCALE NETWORK POLICY DEPLOYMENT

    公开(公告)号:US20180351788A1

    公开(公告)日:2018-12-06

    申请号:US15719139

    申请日:2017-09-28

    Abstract: Systems, methods, and computer-readable media for localizing faults in a network policy are disclosed. In some examples, a system or method can obtain TCAM rules across a network and use the TCAM rules to perform an equivalency check between the logical model and the hardware model of the network policy. One or more risk models are annotated with output from the equivalency check and the risk models are used to identify a set of policy objects of the network policy that are likely responsible for the faults.

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