Patents by Inventor Karthee M

Karthee M 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).

  • SYSTEMS, METHODS, AND APPARATUSES FOR AUTO-SCALING VOLATILE MEMORY ALLOCATION IN AN ELECTRONIC NETWORK
    Publication number: 20240311287
    Abstract: Systems, computer program products, and methods are described herein for auto-scaling volatile memory allocation in an electronic network. The present invention is configured to access metadata of at least one volatile memory component, wherein the metadata is associated with at least one application; determine a current volatile memory allocation for the metadata; determine a current metadata format of the metadata; apply the metadata to a volatile memory allocation machine learning model; generate, based on the application of the metadata to the volatile memory allocation machine learning model, a new volatile memory allocation for the metadata; and apply the new volatile memory allocation to the metadata of the at least one volatile memory component, wherein the application of the new volatile memory allocation to the metadata comprises at least one of an upscaling, a downscaling, or a constant.
    Type: Application
    Filed: March 16, 2023
    Publication date: September 19, 2024
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Karthee M, Abhishek Sharma, Sudarshan Sridharan
  • Systems, methods, and apparatuses for auto-scaling volatile memory allocation in an electronic network
    Patent number: 12079119
    Abstract: Systems, computer program products, and methods are described herein for auto-scaling volatile memory allocation in an electronic network. The present invention is configured to access metadata of at least one volatile memory component, wherein the metadata is associated with at least one application; determine a current volatile memory allocation for the metadata; determine a current metadata format of the metadata; apply the metadata to a volatile memory allocation machine learning model; generate, based on the application of the metadata to the volatile memory allocation machine learning model, a new volatile memory allocation for the metadata; and apply the new volatile memory allocation to the metadata of the at least one volatile memory component, wherein the application of the new volatile memory allocation to the metadata comprises at least one of an upscaling, a downscaling, or a constant.
    Type: Grant
    Filed: March 16, 2023
    Date of Patent: September 3, 2024
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: Karthee M, Abhishek Sharma, Sudarshan Sridharan