US 2022/0066802 A1 · SYSTEM AND METHOD TO SIMULATE DEMAND AND OPTIMIZE CONTROL PARAMETERS FOR A TECHNOLOGY PLATFORM

Abstract

A system and method are presented for optimizing choices of control parameters. A method includes collecting demand sequences each associated with a resource managed by a technology platform; processing a demand sequence for a resource to calculate an optimized control parameter (CP) value set to manage an automated process within the technology platform, wherein calculating includes: processing the demand sequence with an advanced bootstrap process to generate a collection of bootstrapped demand sequences; processing the bootstrapped demand sequences with a performance prediction process that models the automated process to predict a performance metric for an initially selected CP value set; identifying a neighborhood of CP value sets that includes neighbors and the initially selected CP value set; predicting the performance metric for each neighbor with the performance prediction process; and identifying from the neighborhood of CP value sets the optimized CP value set that provides a best performance metric.

Claims20

Dependent claims

A system, comprising:

a memory;
and
a processor coupled to the memory and configured to process demand data for a set of resources according to a method that includes:
collecting demand sequences, wherein each demand sequence is associated with a resource managed by a technology platform;
processing a demand sequence for a selected resource to calculate an optimized control parameter (CP) value set adapted to manage an automated process within the technology platform, wherein calculating the optimized CP value set for the selected resource includes:
processing the demand sequence to generate a collection of bootstrapped demand sequences;
processing the bootstrapped demand sequences with a performance prediction process that models the automated process to predict a performance metric for an initially selected CP value set;
identifying a neighborhood of CP value sets that includes neighbors and the initially selected CP value set;
predicting the performance metric for each neighbor with the performance prediction process;
and
identifying from the neighborhood of CP value sets the optimized CP value set that provides a best performance metric.

8 more elements

A method for processing demand data for a set of resources in a technology platform, comprising:

collecting demand sequences, wherein each demand sequence is associated with a resource managed by a technology platform;
processing a demand sequence for a selected resource to calculate an optimized control parameter (CP) value set adapted to manage an automated process within the technology platform, wherein calculating the optimized CP value set for the selected resource includes:
processing the demand sequence to generate a collection of bootstrapped demand sequences;
processing the bootstrapped demand sequences with a performance prediction process that models the automated process to predict a performance metric for an initially selected CP value set;
identifying a neighborhood of CP value sets that includes neighbors and the initially selected CP value set;
predicting the performance metric for each neighbor with the performance prediction process;
and
identifying from the neighborhood of CP value sets the optimized CP value set that provides a best performance metric.

5 more elements

Dependencies are inferred from the claim text.

System and method to simulate demand and optimize control parameters for a technology platform

Life of this patent

System and method to simulate demand and optimize control parameters for a technology platform

Life of this patent

Abstract

Claims20