Patents by Inventor Giacomo MARGARIA

Giacomo MARGARIA 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).

  • Patent number: 12105737
    Abstract: The present disclosure relates to database technology and in particular to dynamically updating and customizing database partitions. A computer-implemented engine is disclosed for identifying and retrieving a number of data records applicable to generate a response to a request, the engine having access to at least two partitions. Partition statistics are generated indicating correlations between the data records and, based on that partition statistics, the data records having the strongest correlation with each other are relocated to partitions so that the number of partitions which have to be queried in order to generate a response to a data request is minimized. Furthermore, the computational load caused when generating responses is more equally distributed across the partitions.
    Type: Grant
    Filed: July 5, 2022
    Date of Patent: October 1, 2024
    Assignee: AMADEUS S.A.S., SOPHIA ANTIPOLIS
    Inventors: Daniele Masala, Lionel Gotti, Matteo Casalino, Nicolas Vizern, Giacomo Margaria, Huseyin Kilic
  • Publication number: 20230041308
    Abstract: The present disclosure relates to database technology and in particular to dynamically updating and customizing database partitions. A computer-implemented engine is disclosed for identifying and retrieving a number of data records applicable to generate a response to a request, the engine having access to at least two partitions. Partition statistics are generated indicating correlations between the data records and, based on that partition statistics, the data records having the strongest correlation with each other are relocated to partitions so that the number of partitions which have to be queried in order to generate a response to a data request is minimized. Furthermore, the computational load caused when generating responses is more equally distributed across the partitions.
    Type: Application
    Filed: July 5, 2022
    Publication date: February 9, 2023
    Inventors: Daniele MASALA, Lionel GOTTI, Matteo CASALINO, Nicolas VIZERN, Giacomo MARGARIA, Huseyin KILIC