Systems and methods for modeling computer resource metrics

A processor-implemented computer resource metric modeling method, comprising:

• aggregating transaction volume data of one or more interaction types;
• mapping, for each interaction type, one or more devices;
• aggregating resource utilization data for the one or more devices;
• generating one or more multivariate models indicative of relationships between variations in the transaction volume data and the resource utilization data, wherein:
• a multivariate model of the multivariate models is generated for a group of the one or more devices, each group of one or more devices being associated with a traffic channel;
• calculating diagnostic statistics for the multivariate models;
• filtering out a first subset of the multivariate models based on the diagnostic statistics, with a second subset of the multivariate models remaining;
• and
• generating instructions to modify the one or more devices for load balancing based on the second subset of the multivariate models.

A computer resource metric modeling system, comprising:

• at least one memory storing instructions;
• and
• at least one processor executing the instructions to perform operations comprising:
• aggregating transaction volume data of one or more interaction types;
• mapping for each interaction type, one or more devices;
• aggregating resource utilization data for the one or more devices;
• generating one or more multivariate models indicative of relationships between variations in the transaction volume data and the resource utilization data, wherein:
• a multivariate model of the multivariate models is generated for a group of the one or more devices, each group of one or more devices being associated with a traffic channel;
• calculating diagnostic statistics for the multivariate models;
• filtering out a first subset of the multivariate models based on the diagnostic statistics, with a second subset of the multivariate models remaining;
• and
• generating instructions to modify the one or more devices for load balancing based on the second subset of the multivariate models.