Patents by Inventor Piyush Kumar Maurya

Piyush Kumar Maurya 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).

  • Scheduling and control of executable jobs over compute instances
    Patent number: 12014217
    Abstract: A resource control system is described that is configured to control scheduling of executable jobs by compute instances of a service provider system. In one example, the resource control system outputs a deployment user interface to obtain job information. Upon receipt of the job information, the resource control system communicates with a service provider system to obtain logs from compute instances implemented by the service provider system for the respective executable jobs. The resource control system uses data obtained from the logs to estimate utility indicating status of respective executable jobs and an amount of time to complete the executable jobs by respective compute instances. The resource control system then employs a machine-learning module to generate an action to be performed by compute instances for respective executable jobs.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: June 18, 2024
    Assignee: Adobe Inc.
    Inventors: Subrata Mitra, Sunav Choudhary, Shaddy Garg, Anuj Jitendra Diwan, Piyush Kumar Maurya, Arpit Aggarwal, Prateek Jain
  • Scheduling and Control of Executable Jobs Over Compute Instances
    Publication number: 20230168941
    Abstract: A resource control system is described that is configured to control scheduling of executable jobs by compute instances of a service provider system. In one example, the resource control system outputs a deployment user interface to obtain job information. Upon receipt of the job information, the resource control system communicates with a service provider system to obtain logs from compute instances implemented by the service provider system for the respective executable jobs. The resource control system uses data obtained from the logs to estimate utility indicating status of respective executable jobs and an amount of time to complete the executable jobs by respective compute instances. The resource control system then employs a machine-learning module to generate an action to be performed by compute instances for respective executable jobs.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Applicant: Adobe Inc.
    Inventors: Subrata Mitra, Sunav Choudhary, Shaddy Garg, Anuj Jitendra Diwan, Piyush Kumar Maurya, Arpit Aggarwal, Prateek Jain