Patents by Inventor Durga KALYAN GANJAPU

Durga KALYAN GANJAPU 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).

  • Utilizing machine learning models to process resource usage data and to determine anomalous usage of resources
    Patent number: 11836578
    Abstract: A device receives historical data associated with multiple cloud computing environments, trains one or more machine learning models, with the historical data, to generate trained machine learning models that generate outputs, and trains a model with the outputs to generate a trained model. The device receives particular data, associated with a cloud computing environment, that includes data identifying usage of resources associated with the cloud computing environment, and processes the particular data, with the trained machine learning models, to generate anomaly scores indicating anomalous usage of the resources associated with the cloud computing environment. The device processes the one or more anomaly scores, with the trained model, to generate a final anomaly score indicating anomalous usage of at least one of the resources associated with the cloud computing environment, and performs one or more actions based on the final anomaly score.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: December 5, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Kun Qiu, Vijay Desai, Laser Seymour Kaplan, Durga Kalyan Ganjapu, Daniel Marcus Lombardo
  • UTILIZING MACHINE LEARNING MODELS TO PROCESS RESOURCE USAGE DATA AND TO DETERMINE ANOMALOUS USAGE OF RESOURCES
    Publication number: 20200311603
    Abstract: A device receives historical data associated with multiple cloud computing environments, trains one or more machine learning models, with the historical data, to generate trained machine learning models that generate outputs, and trains a model with the outputs to generate a trained model. The device receives particular data, associated with a cloud computing environment, that includes data identifying usage of resources associated with the cloud computing environment, and processes the particular data, with the trained machine learning models, to generate anomaly scores indicating anomalous usage of the resources associated with the cloud computing environment. The device processes the one or more anomaly scores, with the trained model, to generate a final anomaly score indicating anomalous usage of at least one of the resources associated with the cloud computing environment, and performs one or more actions based on the final anomaly score.
    Type: Application
    Filed: August 26, 2019
    Publication date: October 1, 2020
    Inventors: Kun QIU, Vijay DESAI, Laser Seymour KAPLAN, Durga KALYAN GANJAPU, Daniel Marcus LOMBARDO