Sap se (20250130882). ANOMALOUS BEHAVIOR IDENTIFICATION FROM HOMOGENEOUS DYNAMIC DATA
ANOMALOUS BEHAVIOR IDENTIFICATION FROM HOMOGENEOUS DYNAMIC DATA
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ANOMALOUS BEHAVIOR IDENTIFICATION FROM HOMOGENEOUS DYNAMIC DATA
This abstract first appeared for US patent application 20250130882 titled 'ANOMALOUS BEHAVIOR IDENTIFICATION FROM HOMOGENEOUS DYNAMIC DATA
Original Abstract Submitted
systems and methods include reception of time-series data of a metric for each of a plurality of computer servers, determination, for each computer server, of a representative value of the metric based on the time-series data of the metric for the computer server, determination, for each computer server, of a fluctuation value of the metric based on the time-series data of the metric for the computer server, determination of a standard value of the metric based on the determined representative values, determination of a standard fluctuation value based on the determined fluctuation values, determination, for each computer server, of a difference value based on a difference between the standard value and the representative value for the computer server and a difference between the standard fluctuation value and the fluctuation value for the computer server; and identification of one or more anomalous computer servers based on the difference values.