CPC H04L 41/064 (2013.01) [G06F 18/214 (2023.01); H04L 41/16 (2013.01); H04L 43/04 (2013.01)] | 20 Claims |
1. A computer-implemented method comprising:
obtaining a plurality of streams of time-series telemetry data, the time-series telemetry data generated by network devices of a data network;
analyzing the plurality of streams to identify a subset of streams, wherein each stream of the subset of streams includes telemetry data that substantially matches an empirical distribution function;
analyzing the subset of streams of time-series data to identify a change point by:
computing a matrix profile using the subset of streams of time-series data, and
identifying a plurality of windows based on a repeating pattern of the subset of streams of time-series data;
in response to identifying the change point, obtaining additional time-series data from one or more streams of the plurality of streams of time-series telemetry data; and
re-training a predictive model using the additional time-series data to update the predictive model and provide a trained predictive model.
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