Patents by Inventor Srikkanth R Kulkarni

Srikkanth R Kulkarni 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: 11797416
    Abstract: Some embodiments of the present invention are directed towards techniques for validating performance degradation of cloud deployed application from neighbor based variability. Historical runs of an application deployed in a cloud environment are received. In these embodiments, a subset of these historical runs, using associated performance metrics recorded during the historical runs, are compared against performance metrics of a current version of the application which is deployed in a cloud environment to determine a subset of historical runs similar to the current version. The determined subset is then used to draw comparisons with performance metrics of a baseline run of the application to validate if a performance degradation has occurred by updating the application to the current version, reducing the impact of neighbor-based variability on evaluating performance degradation.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: October 24, 2023
    Assignee: International Business Machines Corporation
    Inventors: Vaibhav Murlidhar Kulkarni, Sweta Singh, Aiswarya L. Mohanasundaram, Srikkanth R Kulkarni
  • Publication number: 20220100632
    Abstract: Some embodiments of the present invention are directed towards techniques for validating performance degradation of cloud deployed application from neighbor based variability. Historical runs of an application deployed in a cloud environment are received. In these embodiments, a subset of these historical runs, using associated performance metrics recorded during the historical runs, are compared against performance metrics of a current version of the application which is deployed in a cloud environment to determine a subset of historical runs similar to the current version. The determined subset is then used to draw comparisons with performance metrics of a baseline run of the application to validate if a performance degradation has occurred by updating the application to the current version, reducing the impact of neighbor-based variability on evaluating performance degradation.
    Type: Application
    Filed: September 25, 2020
    Publication date: March 31, 2022
    Inventors: Vaibhav Murlidhar Kulkarni, Sweta Singh, Aiswarya L. Mohanasundaram, Srikkanth R Kulkarni