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:
Dec. 16, 2025

Filed:

Sep. 30, 2021
Applicant:

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

Inventors:

Bhaskar Todi, Madhya Pradesh, IN;

James S. Watt, Austin, TX (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 8/60 (2018.01); G06F 9/355 (2018.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 9/505 (2013.01); G06F 9/3555 (2013.01); G06F 9/5077 (2013.01); G06F 2209/5019 (2013.01);
Abstract

Methods, apparatus, and processor-readable storage media for automated predictive infrastructure scaling are provided herein. An example computer-implemented method includes generating infrastructure scaling predictions by processing, using a motion-based model, historical data pertaining to number of requests for resources for a given time interval and historical data pertaining to a rate of change in the number of requests; determining a trend based on moving average values pertaining to the historical data; determining a utilization target related to the resources based on the trend; calculating a standard deviation for resource demand based on historical utilization data pertaining to the resources; separating the standard deviation into zones related to levels of utilization of the resources; identifying one of the zones for infrastructure scaling in a future time interval based on the utilization target; updating the predictions by fitting the predictions to the identified zone; and performing automated actions based on the updated predictions.


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