Patents by Inventor Pallavi BARAL

Pallavi BARAL 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: 11861352
    Abstract: The present concepts may automate and optimize deployment to a cloud computing fleet. Artificial intelligence and/or optimization algorithms may be used to find optimal deployment parameters (e.g., deployment order of computers in the fleet) that minimize deployment time and minimize deployment risk. For example, machine-learning prediction models may be used to generate a shortest path graph problem models a deployment planning problem. Then, optimization algorithms may be used to efficiently find approximations of Pareto-optimal solutions to the shortest path graph problem. Depending on the preferred level of time and risk, one of the solutions may be used to run the deployment.
    Type: Grant
    Filed: December 29, 2021
    Date of Patent: January 2, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Pallavi Baral, Prateek Punj, Yilan Zhang, Bhuvan Malladihalli Shashidhara, Hanyi Xu, Abhishek Kumar, Mayank Meghwanshi, Sisi Xiong, Michael Stephenson, Avnish Chhabra, Juan-Arturo Herrera Ortiz, Huaming Huang
  • Publication number: 20230205509
    Abstract: The present concepts may automate and optimize deployment to a cloud computing fleet. Artificial intelligence and/or optimization algorithms may be used to find optimal deployment parameters (e.g., deployment order of computers in the fleet) that minimize deployment time and minimize deployment risk. For example, machine-learning prediction models may be used to generate a shortest path graph problem models a deployment planning problem. Then, optimization algorithms may be used to efficiently find approximations of Pareto-optimal solutions to the shortest path graph problem. Depending on the preferred level of time and risk, one of the solutions may be used to run the deployment.
    Type: Application
    Filed: December 29, 2021
    Publication date: June 29, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Pallavi BARAL, Prateek PUNJ, Yilan ZHANG, Bhuvan MALLADIHALLI SHASHIDHARA, Hanyi XU, Abhishek KUMAR, Mayank MEGHWANSHI, Sisi XIONG, Michael STEPHENSON, Avnish CHHABRA, Juan-Arturo HERRERA ORTIZ, Huaming HUANG