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. 20, 2024

Filed:

Jul. 06, 2018
Applicants:

Barcelona Supercomputing Center—centro Nacional DE Supercomputación, Barcelona, ES;

Universitat Politècnica DE Catalunya, Barcelona, ES;

Inventors:

Juan Luís Pérez Rico, Barcelona, ES;

Alberto Gutiérrez Torre, Barcelona, ES;

Josep Lluís Berral García, Barcelona, ES;

David Carrera Perez, Barcelona, ES;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 9/50 (2006.01); G06N 3/063 (2023.01); H04L 67/1087 (2022.01); H04L 67/125 (2022.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G06F 9/5072 (2013.01); G06F 18/214 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); H04L 67/1089 (2013.01); H04L 67/125 (2013.01);
Abstract

Fog computing systems are provided comprising edge-nodes and middle-nodes between edge-nodes and cloud-node. These nodes form a hierarchical structure with each cloud, middle node having children nodes, and each middle, edge node having a parent-node. Each edge-node receives data from sensors, assigns reception-timestamp to each data indicating when data has been received to produce series of timestamp-ordered data, trains local model through machine-learning based on said series of timestamp-ordered data, and sends said series to parent-node of the edge-node. Each middle-node collects series of timestamp-ordered data from children nodes of the middle-node, trains supra-local model through machine-learning based on said collected series of timestamp-ordered data, and sends said collected series to parent-node of the middle-node. Parent-children structures, edge-nodes and middle-nodes for such fog computing systems are also provided. Methods and computer programs of operation of an edge-node, and methods and computer programs of operation of a middle-node are also provided.


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