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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.

Patent No.:

US 11632422 B1

PDFFull Text
Date of Patent:
Apr. 18, 2023

Filed:

Apr. 01, 2022

Automated server workload management using machine learning

Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Subodh Kumar, Glen Allen, VA (US);

Santosh Bardwaj, Lincolnshire, IL (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:

Perkins Coie LLP

Primary Examiner:

Barbara B Anyan

Int. Cl.
CPC ...
H04L 67/1008 (2022.01); H04L 67/1021 (2022.01); H04L 41/5009 (2022.01); H04L 41/0896 (2022.01); H04L 67/1023 (2022.01); G06F 11/34 (2006.01); G06F 9/50 (2006.01); G06Q 10/06 (2023.01); H04L 41/16 (2022.01); H04L 41/50 (2022.01); G06F 3/06 (2006.01); G06F 3/12 (2006.01); H04L 47/70 (2022.01);
U.S. Cl.
CPC ...
H04L 67/1008 (2013.01); G06F 9/505 (2013.01); G06F 9/5061 (2013.01); G06F 9/5088 (2013.01); G06F 11/3447 (2013.01); H04L 41/0896 (2013.01); H04L 41/5012 (2013.01); H04L 67/1021 (2013.01); H04L 67/1023 (2013.01); G06F 3/0608 (2013.01); G06F 3/0619 (2013.01); G06F 3/1211 (2013.01); G06F 9/5038 (2013.01); G06F 9/5072 (2013.01); G06Q 10/06 (2013.01); H04L 41/16 (2013.01); H04L 41/5096 (2013.01); H04L 47/70 (2013.01); H04L 47/827 (2013.01);
Abstract

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

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