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PATTERN DISCOVERY FROM HIGH DIMENSIONAL TELEMETRY DATA USING MACHINE LEARNING IN A NETWORK ASSURANCE SERVICE
PATTERN DISCOVERY FROM HIGH DIMENSIONAL TELEMETRY DATA USING MACHINE LEARNING IN A NETWORK ASSURANCE SERVICE
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机译:网络保障服务中基于机器学习的高维遥测数据模式发现
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摘要
In one embodiment, a network assurance service that monitors a plurality of networks subdivides telemetry data regarding devices located in the networks into subsets, wherein each subset is associated with a device type, time period, metric type, and network. The service summarizes each subset by computing distribution percentiles of metric values in the subset. The service identifies an outlier subset by comparing distribution percentiles that summarize the subsets. The service reports insight data regarding the outlier subset to a user interface. The service adjusts the subsets based in part on feedback regarding the insight data from the user interface.
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