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:
Feb. 27, 2024

Filed:

May. 04, 2020
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Paulo Abelha Ferreira, Rio de Janeiro, BR;

Adriana Bechara Prado, Niterói, BR;

Pablo Nascimento da Silva, Niterói, BR;

Assignee:

Dell Products, L.P., Hopkinton, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06F 16/11 (2019.01); G06N 20/20 (2019.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/11 (2019.01); G06N 5/01 (2023.01); G06N 20/20 (2019.01);
Abstract

Training examples are created from telemetry data, in which each training example engineered features derived from the telemetry data, storage system characteristics about the storage system that processed the workload associated with the telemetry data, and the response time of the storage system while processing the workload. The training examples are provided to an unsupervised learning process which assigns the training examples to clusters. Training examples of each cluster are used to train/test a separate supervised learning process for the cluster, to cause each supervised learning process to learn a regression between independent variables (system characteristics and workload features) and a dependent variable (storage system response time). To determine a response time of a proposed storage system, the proposed workload is used to select one of the clusters, and then the trained learning process for the selected cluster is used to determine the response time of the proposed storage system.


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