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MACHINE LEARNING DRIVEN DATA COLLECTION OF HIGH-FREQUENCY NETWORK TELEMETRY FOR FAILURE PREDICTION
MACHINE LEARNING DRIVEN DATA COLLECTION OF HIGH-FREQUENCY NETWORK TELEMETRY FOR FAILURE PREDICTION
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机译:高频网络遥测的机器学习驱动数据收集以进行故障预测
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摘要
In one embodiment, a supervisory service for one or more networks receives telemetry data samples from a plurality of networking devices in the one or more networks. The service trains a failure prediction model to predict failures in the one or more networks, using a training dataset comprising the received telemetry data samples. The service assesses performance of the failure prediction model. The service trains, based on the assessed performance of the failure prediction model, a machine learning-based classification model to determine whether a networking device should send a particular telemetry data sample to the service. The service sends the machine learning-based classifier to one or more of the plurality of networking devices, to control which telemetry data samples the one or more networking devices send to the supervisory service.
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