Patents by Inventor Srini Konakanchi

Srini Konakanchi 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).

  • System and method of resource management and performance prediction of computing resources
    Patent number: 11966735
    Abstract: In one or more embodiments, a system and/or a method may implement: receiving data representing different performance behavior metrics that are associated with software instances that are respectively associated with consumer computers and that specify values of performance factors of the software instances as the consumer computers interoperate with the software instances; determining data throughput values that represent processing throughput of the software instances; determining relative capacity values of the software instances; adapting each of prediction models to the relative capacity values; determining correlation coefficients from the prediction models and the multiple data throughput values; executing a prediction model of the prediction models associated with a correlation coefficient closest to a value of “1” to result in outputting threshold values associated with the performance factors; and transmitting the threshold values to a particular consumer computer among the consumer computers as par
    Type: Grant
    Filed: April 13, 2023
    Date of Patent: April 23, 2024
    Assignee: Coupa Software Incorporated
    Inventors: Jason Kim, Srini Konakanchi, Mayank Mathur
  • SYSTEM AND METHOD OF RESOURCE MANAGEMENT AND PERFORMANCE PREDICTION OF COMPUTING RESOURCES
    Publication number: 20230251860
    Abstract: In one or more embodiments, a system and/or a method may implement: receiving data representing different performance behavior metrics that are associated with software instances that are respectively associated with consumer computers and that specify values of performance factors of the software instances as the consumer computers interoperate with the software instances; determining data throughput values that represent processing throughput of the software instances; determining relative capacity values of the software instances; adapting each of prediction models to the relative capacity values; determining correlation coefficients from the prediction models and the multiple data throughput values; executing a prediction model of the prediction models associated with a correlation coefficient closest to a value of “1” to result in outputting threshold values associated with the performance factors; and transmitting the threshold values to a particular consumer computer among the consumer computers as par
    Type: Application
    Filed: April 13, 2023
    Publication date: August 10, 2023
    Inventors: Jason Kim, Srini Konakanchi, Mayank Mathur
  • System and method of resource management and performance prediction of computing resources
    Patent number: 11662999
    Abstract: In one or more embodiments, a system and/or a method may implement: receiving data representing different performance behavior metrics that are associated with software instances that are respectively associated with consumer computers and that specify values of performance factors of the software instances as the consumer computers interoperate with the software instances; determining data throughput values that represent processing throughput of the software instances; determining relative capacity values of the software instances; adapting each of prediction models to the relative capacity values; determining correlation coefficients from the prediction models and the multiple data throughput values; executing a prediction model of the prediction models associated with a particular correlation coefficient closest to result in outputting threshold values associated with the performance factors; and transmitting the threshold values to a particular consumer computer among the consumer computers as part of a
    Type: Grant
    Filed: February 28, 2022
    Date of Patent: May 30, 2023
    Assignee: Coupa Software Incorporated
    Inventors: Jason Kim, Srini Konakanchi, Mayank Mathur
  • SYSTEM AND METHOD OF RESOURCE MANAGEMENT AND PERFORMANCE PREDICTION OF COMPUTING RESOURCES
    Publication number: 20220244954
    Abstract: In one or more embodiments, a system and/or a method may implement: receiving data representing different performance behavior metrics that are associated with software instances that are respectively associated with consumer computers and that specify values of performance factors of the software instances as the consumer computers interoperate with the software instances; determining data throughput values that represent processing throughput of the software instances; determining relative capacity values of the software instances; adapting each of prediction models to the relative capacity values; determining correlation coefficients from the prediction models and the multiple data throughput values; executing a prediction model of the prediction models associated with a particular correlation coefficient closest to result in outputting threshold values associated with the performance factors; and transmitting the threshold values to a particular consumer computer among the consumer computers as part of a
    Type: Application
    Filed: February 28, 2022
    Publication date: August 4, 2022
    Inventors: Jason Kim, Srini Konakanchi, Mayank Mathur
  • System and method of resource management and performance prediction of computing resources
    Patent number: 11269627
    Abstract: In one or more embodiments, a system and/or a method may implement: receiving data representing different performance behavior metrics that are associated with software instances that are respectively associated with consumer computers and that specify values of performance factors of the software instances as the consumer computers interoperate with the software instances; determining data throughput values that represent processing throughput of the software instances; determining relative capacity values of the software instances; adapting each of prediction models to the relative capacity values; determining correlation coefficients from the prediction models and the multiple data throughput values; executing a prediction model of the prediction models associated with a correlation coefficient closest to a value of “1” to result in outputting threshold values associated with the performance factors; and transmitting the threshold values to a particular consumer computer among the consumer computers as par
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: March 8, 2022
    Assignee: COUPA SOFTWARE INCORPORATED
    Inventors: Jason Kim, Srini Konakanchi, Mayank Mathur