Patents by Inventor Shamantha Krishna K G

Shamantha Krishna K G 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).

  • Dynamic prediction of system resource requirement of network software in a live network using data driven models
    Patent number: 11797408
    Abstract: In general, a device comprising a processor and a memory may be configured to perform various aspects of the techniques described in this disclosure. The processor may conduct, based on configuration parameters, each of a plurality of simulation iterations within the test environment to collect a corresponding plurality of simulation datasets representative of operating states of the network device. The processor may perform a regression analysis with respect to each of the plurality of configuration parameters and each of the plurality of simulation datasets to generate a light weight model representative of the network device that predicts an operating state of the network device. The processor may output the light weight model for use in a computing resource restricted network device to enable prediction of the operating state of the computing resource restricted network device when configured with the configuration parameters. The memory may store the light weight model.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: October 24, 2023
    Assignee: Juniper Networks, Inc.
    Inventors: Sanjeev Kumar Mishra, Ankur Neog, Ramakrishnan Rajagopalan, Ravindran Thangarajah, Shamantha Krishna K G
  • DYNAMIC PREDICTION OF SYSTEM RESOURCE REQUIREMENT OF NETWORK SOFTWARE IN A LIVE NETWORK USING DATA DRIVEN MODELS
    Publication number: 20230214304
    Abstract: In general, a device comprising a processor and a memory may be configured to perform various aspects of the techniques described in this disclosure. The processor may conduct, based on configuration parameters, each of a plurality of simulation iterations within the test environment to collect a corresponding plurality of simulation datasets representative of operating states of the network device. The processor may perform a regression analysis with respect to each of the plurality of configuration parameters and each of the plurality of simulation datasets to generate a light weight model representative of the network device that predicts an operating state of the network device. The processor may output the light weight model for use in a computing resource restricted network device to enable prediction of the operating state of the computing resource restricted network device when configured with the configuration parameters. The memory may store the light weight model.
    Type: Application
    Filed: December 30, 2021
    Publication date: July 6, 2023
    Inventors: Sanjeev Kumar Mishra, Ankur Neog, Ramakrishnan Rajagopalan, Ravindran Thangarajah, Shamantha Krishna K G