Patents by Inventor Andrey Karapetov

Andrey Karapetov 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).

  • ON DEMAND SYNTHETIC DATA MATRIX GENERATION
    Publication number: 20210014126
    Abstract: An data driven approach to generating synthetic data matrices is presented. By retrieving historical network traffic data, probabilistic models are generated. Optimal distribution families for a set of independent data segments are determined. Applications are tested and performance metrics are determined based on the generated synthetic data matrices.
    Type: Application
    Filed: September 29, 2020
    Publication date: January 14, 2021
    Inventors: Tejaswini Ganapathi, Satish Raghunath, Xu Che, Shauli Gal, Andrey Karapetov
  • On demand synthetic data matrix generation
    Patent number: 10791035
    Abstract: An data driven approach to generating synthetic data matrices is presented. By retrieving historical network traffic data, probabilistic models are generated. Optimal distribution families for a set of independent data segments are determined. Applications are tested and performance metrics are determined based on the generated synthetic data matrices.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: September 29, 2020
    Assignee: salesforce.com, inc.
    Inventors: Tejaswini Ganapathi, Satish Raghunath, Xu Che, Shauli Gal, Andrey Karapetov
  • Data driven emulation of application performance on simulated wireless networks
    Patent number: 10548034
    Abstract: A data driven approach to emulating application performance is presented. By retrieving historical network traffic data, probabilistic models are generated to simulate wireless networks. Optimal distribution families for network values are determined. Performance data is captured from applications operating on simulated user devices operating on a virtual machine with a network simulator running sampled tuple values.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: January 28, 2020
    Assignee: salesforce.com, inc.
    Inventors: Tejaswini Ganapathi, Satish Raghunath, Shauli Gal, Kartikeya Chandrayana, Xu Che, Andrey Karapetov
  • DATA DRIVEN EMULATION OF APPLICATION PERFORMANCE ON SIMULATED WIRELESS NETWORKS
    Publication number: 20190141549
    Abstract: An data driven approach to emulating application performance is presented. By retrieving historical network traffic data, probabilistic models are generated to simulate wireless networks. Optimal distribution families for network values are determined. Performance data is captured from applications operating on simulated user devices operating on a virtual machine with a network simulator running sampled tuple values.
    Type: Application
    Filed: November 3, 2017
    Publication date: May 9, 2019
    Inventors: Tejaswini Ganapathi, Satish Raghunath, Shauli Gal, Kartikeya Chandrayana, Xu Che, Andrey Karapetov
  • ON DEMAND SYNTHETIC DATA MATRIX GENERATION
    Publication number: 20190140910
    Abstract: An data driven approach to generating synthetic data matrices is presented. By retrieving historical network traffic data, probabilistic models are generated. Optimal distribution families for a set of independent data segments are determined. Applications are tested and performance metrics are determined based on the generated synthetic data matrices.
    Type: Application
    Filed: November 3, 2017
    Publication date: May 9, 2019
    Inventors: Tejaswini Ganapathi, Satish Raghunath, Xu Che, Shauli Gal, Andrey Karapetov