US 11,695,706 B2
Anomaly detection for multiple parameters
Mahsa Shateri, Erie, PA (US)
Assigned to Cigna Intellectual Property, Inc., Wilmington, DE (US)
Filed by Cigna Intellectual Property, Inc., Wilmington, DE (US)
Filed on Jun. 6, 2022, as Appl. No. 17/833,305.
Application 17/833,305 is a continuation of application No. 17/120,427, filed on Dec. 14, 2020, granted, now 11,356,387.
Application 17/120,427 is a continuation of application No. 17/120,410, filed on Dec. 14, 2020, granted, now 11,418,459.
Prior Publication US 2022/0303228 A1, Sep. 22, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 47/70 (2022.01); H04L 41/142 (2022.01); H04L 43/0876 (2022.01); H04L 43/067 (2022.01); H04L 43/0829 (2022.01)
CPC H04L 47/822 (2013.01) [H04L 41/142 (2013.01); H04L 43/067 (2013.01); H04L 43/0829 (2013.01); H04L 43/0876 (2013.01); H04L 47/823 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
accessing, by one or more processors, one or more data objects including a data set that has been collected over a given span of time, the data set representing a plurality of parameters corresponding to resource utilization of a given server;
computing first and second statistical measures based on the plurality of parameters, the first statistical measure being computed using a first model that is generated based on a sequence of recent data points, the second statistical measure being computed using a second model that is generated based on historical values of data points each associated with a recurring time period, one or more of the historical values of data points being different from the recent data points;
obtaining current resource utilization corresponding to at least a subset of the plurality of parameters;
determining a first condition in which values of the current resource utilization exceed a first threshold associated with the first statistical measure;
determining a second condition in which values of the data set corresponding to a time period associated with the current resource utilization exceed a second threshold associated with the second statistical measure;
triggering an anomaly detection operation in response to determining the first and second conditions based on a combination of outputs of the first and second models; and
in response to the anomaly detection operation being triggered, changing resources allocated to the given server.