US 2026/0010399 A1Published application

System and method for monitoring and adjusting energy use by computational devices

AssigneeBank of America Corporation

InventorsGeorge A. Albero, Naga Vamsi Krishna Akkapeddi, Saurabh Arora

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Abstract

A system for improving energy use associated with an application includes a processor configured to receive performance data from a device associated with the application for a first period of time and updates energy-use data stored in memory with the received performance data. The processor then determines an energy use value based at least in part upon the energy use data stored in the memory. When the energy use value is greater than a predetermined threshold, the processor analyzes the energy use data using machine learning, which produces suggested changes to the application that are determined by machine learning to reduce the energy use value. The processor then initiates the suggested changes by sending the suggested changes to the device associated with the application.

Claims20

Dependent claims

A system for improving energy use associated with an application, comprising:

a memory configured to store energy use data associated with the application, wherein the energy use data comprises an application type and performance data associated with the application;
and
a processor operably coupled to the memory and configured to:
receive from a device associated with the application, the performance data for a first period of time, wherein the application performs at least one operation, and the performance data comprises an identity of the at least one operation and a number of times the at least one operation is performed by the application over the first period of time;
update the energy use data stored in the memory with the received performance data;
determine an energy use value based at least in part upon the energy use data stored in the memory;
when the energy use value is greater than a predetermined threshold, analyze the energy use data using machine learning that has been trained on other energy use data and other energy use values determined for at least one other application having a same application type as the application;
produce with the machine learning suggested changes to the application that are determined by the machine learning to reduce the energy use value;
and
initiate the suggested changes by sending the suggested changes to the device associated with the application.

7 more elements

Dependencies are inferred from the claim text.