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Anomaly detection in a network based on a key performance indicator prediction model

專利號
US11616707B2
公開日期
2023-03-28
申請人
VIAVI Solutions Inc.(US AZ Chandler)
發(fā)明人
Dave Padfield; Yannis Petalas; Oliver Parry-Evans
IPC分類
H04L43/0823; H04L43/04; H04L43/16
技術(shù)領域
kpi,prediction,network,anomaly,platform,or,monitoring,value,may,threshold
地域: CA CA San Jose

摘要

A network monitoring platform may obtain a measurement of a particular value of a key performance indicator (KPI) and one or more parameters of the particular value of the KPI. The network monitoring platform may determine a prediction of the particular value of the KPI. The network monitoring platform may determine an amount of error in the prediction of the particular value of the KPI, wherein the amount of error in the prediction of the particular value of the KPI is based on a difference between the prediction of the particular value of the KPI and the measurement of the particular value of the KPI. The network monitoring platform may perform, based on the amount of error in the prediction of the particular value of the KPI, one or more actions.

說明書

In a fifth implementation, alone or in combination with one or more of the first through fourth implementations, process 400 includes determining that the amount of error in the prediction of the particular value of the KPI fails to satisfy an anomaly threshold, where, based on the amount of error in the prediction of the particular value of the KPI failing to satisfy the anomaly threshold, the one or more actions comprise providing the measurement of the particular value of the KPI and the one or more parameters for further training of the KPI prediction model.

In a sixth implementation, alone or in combination with one or more of the first through fifth implementations, process 400 includes determining that the amount of error in the prediction of the particular value of the KPI satisfies an anomaly threshold, where the one or more actions comprise providing, to a network administration device and based on the amount of error in the prediction of the particular value of the KPI satisfying the anomaly threshold, an indication that the particular value of the KPI is anomalous.

權(quán)利要求

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