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:
Mar. 15, 2022

Filed:

Jun. 29, 2020
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Ashutosh Singh, Austin, TX (US);

Michael David Shepherd, Leander, TX (US);

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/32 (2019.01); G06F 1/329 (2019.01); G05B 13/02 (2006.01); G05D 23/19 (2006.01);
U.S. Cl.
CPC ...
G06F 1/329 (2013.01); G05B 13/024 (2013.01); G05B 13/0265 (2013.01); G05D 23/1917 (2013.01);
Abstract

An apparatus comprises a processing device configured to obtain first parameters characterizing an operating state of information technology (IT) resources of a data center and second parameters characterizing an operating state of cooling systems of the data center, to determine an overall operating state of the data center by aggregating the first and second parameters, to identify a power consumption profile based on the overall operating state, and to perform a joint training of first and second reinforcement learning agents based on the overall operating state and the power consumption profile. The processing device is also configured to generate first controls for the heterogeneous IT resources utilizing the first reinforcement learning agent and second controls for the cooling systems utilizing the second reinforcement learning agent, the first and second controls being configured to reduce power consumption while maintaining specified performance benchmarks for workloads executing in the data center.


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