Patents by Inventor Praveen Kambam Sugavanam

Praveen Kambam Sugavanam 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: 10666716
    Abstract: Optimization preferences are defined for optimizing execution of a distributed application. Candidate sets of application parameter values may be tested in test execution environments. Measures of performance for metrics of interest are determined based upon the execution of the distributed application using the candidate sets of application parameter values. Utility curves may be utilized to compute measures of effectiveness for metrics of interest. A multi-attribute rollup operation may utilize the computed measures of effectiveness and weights to compute a grand measure of merit (MOM) for the candidate sets of application parameter values. An optimized set of application parameter values may then be selected based upon the computed grand MOMs. The optimized set of application parameter values may be deployed to a production execution environment executing the distributed application.
    Type: Grant
    Filed: June 21, 2017
    Date of Patent: May 26, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Brian Jaffery Tajuddin, Carlos Alejandro Arguelles, Jeremy Boynes, Adam Lloyd Days, Gavin R. Jewell, Erin Harding Kraemer, Jeenandra Kumar Uttamchand, Manoj Srivastava, Tyson Christopher Trautmann, Praveen Kambam Sugavanam
  • Patent number: 9692811
    Abstract: Optimization preferences are defined for optimizing execution of a distributed application. Candidate sets of application parameter values may be tested in test execution environments. Measures of performance for metrics of interest are determined based upon the execution of the distributed application using the candidate sets of application parameter values. Utility curves may be utilized to compute measures of effectiveness for metrics of interest. A multi-attribute rollup operation may utilize the computed measures of effectiveness and weights to compute a grand measure of merit (MOM) for the candidate sets of application parameter values. An optimized set of application parameter values may then be selected based upon the computed grand MOMs. The optimized set of application parameter values may be deployed to a production execution environment executing the distributed application.
    Type: Grant
    Filed: May 23, 2014
    Date of Patent: June 27, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Brian Jaffery Tajuddin, Carlos Alejandro Arguelles, Jeremy Boynes, Adam Lloyd Days, Gavin R. Jewell, Erin Harding Kraemer, Jeenandra Kumar Uttamchand, Manoj Srivastava, Tyson Christopher Trautmann, Praveen Kambam Sugavanam