Patents by Inventor Suraj THULKAR

Suraj THULKAR 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 a machine learning model to predict a quantity of cloud resources to allocate to a customer
    Patent number: 11392843
    Abstract: A device may receive historical cloud data associated with resources of a cloud computing environment, and may receive historical customer data associated with requested resource usage by customers of the cloud computing environment. The device may determine a usage growth profile based on the historical cloud data and the historical customer data, and may determine, based on the historical cloud data and the historical customer data, usage deviation data indicating deviations between actual and planned resource usage. The device may train a model, with the usage growth profile and the usage deviation data, to generate a trained model, and may receive a request for new resource usage by a customer associated with the cloud computing environment. The device may process the request for the new resource usage, with the trained model, to generate projected resource usage data, and may perform actions based on the projected resource usage data.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: July 19, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Vijay Desai, Kun Qiu, Suraj Thulkar, Laser Seymour Kaplan, Daniel Marcus Lombardo
  • UTILIZING A MACHINE LEARNING MODEL TO PREDICT A QUANTITY OF CLOUD RESOURCES TO ALLOCATE TO A CUSTOMER
    Publication number: 20200311573
    Abstract: A device may receive historical cloud data associated with resources of a cloud computing environment, and may receive historical customer data associated with requested resource usage by customers of the cloud computing environment. The device may determine a usage growth profile based on the historical cloud data and the historical customer data, and may determine, based on the historical cloud data and the historical customer data, usage deviation data indicating deviations between actual and planned resource usage. The device may train a model, with the usage growth profile and the usage deviation data, to generate a trained model, and may receive a request for new resource usage by a customer associated with the cloud computing environment. The device may process the request for the new resource usage, with the trained model, to generate projected resource usage data, and may perform actions based on the projected resource usage data.
    Type: Application
    Filed: August 26, 2019
    Publication date: October 1, 2020
    Inventors: Vijay DESAI, Kun QIU, Suraj THULKAR, Laser Seymour KAPLAN, Daniel Marcus LOMBARDO