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:
Aug. 19, 2025

Filed:

Feb. 05, 2021
Applicant:

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

Inventors:

Peter Beale, Acton, MA (US);

Wenjin Liu, Cary, NC (US);

Siva Rama Krishna Kottapalli, North Chelmsford, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/20 (2020.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G06F 3/06 (2006.01); G06F 11/34 (2006.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G06F 30/20 (2020.01); G06F 3/061 (2013.01); G05B 13/021 (2013.01); G05B 13/042 (2013.01); G06F 11/34 (2013.01); G06F 2111/10 (2020.01); G06F 2209/5019 (2013.01); G06F 2209/5022 (2013.01);
Abstract

An apparatus comprises a processing device configured to obtain performance data for a plurality of workloads, to select a subset of the performance data corresponding to a subset of the plurality of workloads having a given workload type, and to generate a model characterizing an expected performance of the given workload type by analyzing the selected subset of the performance data to estimate a queuing curve characterizing the expected performance of the given workload type. The processing device is also configured, responsive to determining that a quality of the generated model is above a designated threshold quality level, to utilize the generated model to identify performance impacting events for a given workload of the given workload type and to modify provisioning of compute, storage and network resources allocated to the given workload responsive to identifying performance impacting events for the given workload of the given workload type.


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