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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.

Patent No.:

US 12271382 B1

PDFFull Text
Date of Patent:
Apr. 08, 2025

Filed:

Mar. 07, 2023

Query prediction modeling for distributed databases

Applicant:

Strong Force Vcn Portfolio 2019, Llc, Fort Lauderdale, FL (US);

Inventors:

Charles Howard Cella, Pembroke, MA (US);

Andrew Cardno, San Diego, CA (US);

Assignee:

Strong Force VCN Portfolio 2019, LLC, Fort Lauderdale, FL (US);

Attorney:

Miller Johnson;

Primary Examiner:

Yuk Ting Choi

Int. Cl.
CPC ...
G06F 16/2455 (2019.01); G05D 1/00 (2024.01); G05D 1/69 (2024.01); G06F 16/182 (2019.01); G06F 16/2453 (2019.01); G06F 16/2458 (2019.01); G06F 16/27 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/0833 (2023.01); G06Q 10/087 (2023.01); G06Q 20/38 (2012.01); G06Q 30/0201 (2023.01); G06Q 30/0202 (2023.01); G06V 10/774 (2022.01); H04N 23/67 (2023.01);
U.S. Cl.
CPC ...
G06F 16/2455 (2019.01); G05D 1/0291 (2013.01); G05D 1/69 (2024.01); G06F 16/182 (2019.01); G06F 16/24537 (2019.01); G06F 16/24544 (2019.01); G06F 16/24552 (2019.01); G06F 16/2456 (2019.01); G06F 16/2462 (2019.01); G06F 16/2471 (2019.01); G06F 16/27 (2019.01); G06F 16/278 (2019.01); G06Q 10/06315 (2013.01); G06Q 10/0833 (2013.01); G06Q 10/087 (2013.01); G06Q 20/389 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0206 (2013.01); G06V 10/774 (2022.01); H04N 23/675 (2023.01); G05B 2219/49023 (2013.01); G06Q 2220/00 (2013.01);
Abstract

A computer-implemented method for optimizing a distributed database includes receiving, at an aggregator, one or more query logs comprising past queries received by the distributed database. The method includes generating, by the aggregator, a query prediction model based on the one or more query logs. The method includes predicting, by the aggregator, a future query using the query prediction model. The predicted future query is predicted to be received by an edge device. The method includes causing, by the aggregator, data for responding to the predicted future query to be transmitted to the edge device.

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