Patents by Inventor Nir Yavin

Nir Yavin 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).

  • Publication number: 20250245051
    Abstract: Described techniques determine performance metric values of a performance metric characterizing a performance of a system resource of an information technology (IT) system, and determine driver metric values of a driver metric characterizing an occurrence of an event that is at least partially external to the system resource. A correlation analysis may confirm a potential correlation between the performance metric values and the driver metric values as a correlation. A graph relating the performance metric to the driver metric may be generated. A plurality of extrapolation algorithms may be trained to obtain a plurality of trained extrapolation algorithms using a first subset of data points of the graph, and the plurality of trained extrapolation algorithms may be validated using a second subset of data points of the graph. A driver metric threshold corresponding to the performance metric threshold may be determined using a validated extrapolation algorithm.
    Type: Application
    Filed: April 21, 2025
    Publication date: July 31, 2025
    Inventors: Yaron Front, Michele De Stefano, Marco Bertoli, Jeyashree Sivasubramanian, Komal Padmawar, Nir Yavin
  • Patent number: 12288097
    Abstract: Described techniques determine performance metric values of a performance metric characterizing a performance of a system resource of an information technology (IT) system, and determine driver metric values of a driver metric characterizing an occurrence of an event that is at least partially external to the system resource. A correlation analysis may confirm a potential correlation between the performance metric values and the driver metric values as a correlation. A graph relating the performance metric to the driver metric may be generated. A plurality of extrapolation algorithms may be trained to obtain a plurality of trained extrapolation algorithms using a first subset of data points of the graph, and the plurality of trained extrapolation algorithms may be validated using a second subset of data points of the graph. A driver metric threshold corresponding to the performance metric threshold may be determined using a validated extrapolation algorithm.
    Type: Grant
    Filed: January 31, 2022
    Date of Patent: April 29, 2025
    Assignee: BMC Helix, Inc.
    Inventors: Yaron Front, Michele De Stefano, Marco Bertoli, Jeyashree Sivasubramanian, Komal Padmawar, Nir Yavin
  • Publication number: 20230244535
    Abstract: Described techniques determine performance metric values of a performance metric characterizing a performance of a system resource of an information technology (IT) system, and determine driver metric values of a driver metric characterizing an occurrence of an event that is at least partially external to the system resource. A correlation analysis may confirm a potential correlation between the performance metric values and the driver metric values as a correlation. A graph relating the performance metric to the driver metric may be generated. A plurality of extrapolation algorithms may be trained to obtain a plurality of trained extrapolation algorithms using a first subset of data points of the graph, and the plurality of trained extrapolation algorithms may be validated using a second subset of data points of the graph. A driver metric threshold corresponding to the performance metric threshold may be determined using a validated extrapolation algorithm.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 3, 2023
    Inventors: Yaron Front, Michele De Stefano, Marco Bertoli, Jeyashree Sivasubramanian, Komal Padmawar, Nir Yavin