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. 10, 2026

Filed:

Mar. 26, 2021
Applicant:

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

Inventor:

Deepak Nagarajegowda, Cary, NC (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06F 11/30 (2006.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 11/3414 (2013.01); G06F 11/3034 (2013.01); G06F 11/3075 (2013.01); G06F 11/3466 (2013.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06N 20/00 (2019.01);
Abstract

Methods, apparatus, and processor-readable storage media for automatically detecting workload type-related information in storage systems using machine learning techniques are provided herein. An example computer-implemented method includes designating workload types associated with a storage system by identifying performance-related characteristics associated with each of the workload types; obtaining historical time series data, associated with the storage system, pertaining to multiple performance-related metrics; partitioning the historical time series data into multiple segments based on value levels of the performance-related metrics; generating supervised datasets by associating, for each of the segments, the value levels of the performance-related metrics with a given one of the designated workload types; training a machine learning model using the supervised datasets; detecting workload types associated with input data from the storage system by processing the input data using the machine learning model; and performing automated actions based on the detected workload types.


Find Patent Forward Citations

Loading…