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. 20, 2024

Filed:

Jun. 23, 2022
Applicant:

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

Inventors:

Shaul Dar, Petach Tikva, IL;

Ramakanth Kanagovi, Karnataka, IN;

Vamsi K. Vankamamidi, Hopkinton, MA (US);

Guhesh Swaminathan, Tamil Nadu, IN;

Swati Smita Sitha, Bengaluru, IN;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 12/00 (2006.01); G06F 3/06 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 3/0653 (2013.01); G06F 3/0604 (2013.01); G06F 3/0679 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques for forecasting temperatures of storage objects in a storage system using machine learning (ML). The techniques can include forecasting at least one temperature of a storage object using at least one ML model, modifying storage of the storage object based on the at least one temperature of the storage object, and, having modified storage of the storage object, obtaining at least one performance metric associated with the storage object. The techniques can further include, based on the performance metric(s), varying a frequency of forecasting the at least one temperature of the storage object, retraining the at least one ML model used in forecasting the at least one temperature, and/or adjusting at least one operational parameter of the system. The techniques provide increased accuracy over known statistical approaches to forecasting temperatures of storage objects, leading to increased performance gains in terms of IO latency, IO operations per second, and bandwidth.


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