Patents by Inventor Alberto GUTIÉRREZ TORRE

Alberto GUTIÉRREZ TORRE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Fog computing systems and methods
    Patent number: 11907765
    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.
    Type: Grant
    Filed: July 6, 2018
    Date of Patent: February 20, 2024
    Assignees: BARCELONA SUPERCOMPUTING CENTER—CENTRO NACIONAL DE SUPERCOMPUTACIÓN, UNIVERSITAT POLITÈCNICA DE CATALUNYA
    Inventors: Juan Luís Pérez Rico, Alberto Gutiérrez Torre, Josep Lluís Berral García, David Carrera Perez
  • FOG COMPUTING SYSTEMS AND METHODS
    Publication number: 20210117758
    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.
    Type: Application
    Filed: July 6, 2018
    Publication date: April 22, 2021
    Inventors: Juan Luís PÉREZ RICO, Alberto GUTIÉRREZ TORRE, Josep Lluís BERRAL GARCÍA, David CARRERA PEREZ