The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 27, 2025

Filed:

May. 09, 2023
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Rohit Mehra, Delhi, IN;

Priyavanshi Pathania, Chandigarh, IN;

Vibhu Saujanya Sharma, Bangalore, IN;

Vikrant Kaulgud, Pune, IN;

Samarth Sikand, Jaipur, IN;

Adam Patten Burden, Tampa, FL (US);

Sanjay Podder, Thane, IN;

Raghotham M Rao, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/26 (2006.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06F 1/26 (2013.01); G06Q 30/0601 (2013.01);
Abstract

In some implementations, a device may receive first energy consumption information relating to a set of hardware components of a computing system. The device may receive second energy consumption information relating to a set of virtual machines associated with the computing system. The device may receive third energy consumption information relating to a set of software elements associated with the computing system. The device may determine an energy consumption of the computing system based on the first energy consumption information, the second energy consumption information, and the third energy consumption information. The device may identify, based on the energy consumption of the computing system, an energy optimization associated with a usage context of the computing system. The device may transmit a set of instructions to alter one or more parameters of the computing system to implement the energy optimization for the computing system.


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