Patents by Inventor Amit Kumar Mall

Amit Kumar Mall 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).

  • Lock scheduling using machine learning
    Patent number: 11709706
    Abstract: The present approach relates to systems and methods for facilitating run time predictions for cloud-computing automated tasks (e.g., automated tasks), and using the predicted run time to schedule resource locking. A predictive model may predict the automated task run time based on historical run time to completion, and the run time may be updated using machine learning. Resource lock schedules may be determined for a queue of automated tasks utilizing the resource based on the predicted run time for the various types of automated tasks. The predicted run time may be used to reserve a resource for the given duration, such that the resource is not available for use for another task.
    Type: Grant
    Filed: August 9, 2021
    Date of Patent: July 25, 2023
    Assignee: ServiceNow, Inc.
    Inventors: Prabodh Saha, Amit Kumar Mall, Manojkumar Haridas Shende
  • LOCK SCHEDULING USING MACHINE LEARNING
    Publication number: 20210365291
    Abstract: The present approach relates to systems and methods for facilitating run time predictions for cloud-computing automated tasks (e.g., automated tasks), and using the predicted run time to schedule resource locking. A predictive model may predict the automated task run time based on historical run time to completion, and the run time may be updated using machine learning. Resource lock schedules may be determined for a queue of automated tasks utilizing the resource based on the predicted run time for the various types of automated tasks. The predicted run time may be used to reserve a resource for the given duration, such that the resource is not available for use for another task.
    Type: Application
    Filed: August 9, 2021
    Publication date: November 25, 2021
    Inventors: Prabodh Saha, Amit Kumar Mall, Manojkumar Haridas Shende
  • Lock scheduling using machine learning
    Patent number: 11086677
    Abstract: The present approach relates to systems and methods for facilitating run time predictions for cloud-computing automated tasks (e.g., automated tasks), and using the predicted run time to schedule resource locking. A predictive model may predict the automated task run time based on historical run time to completion, and the run time may be updated using machine learning. Resource lock schedules may be determined for a queue of automated tasks utilizing the resource based on the predicted run time for the various types of automated tasks. The predicted run time may be used to reserve a resource for the given duration, such that the resource is not available for use for another task.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: August 10, 2021
    Assignee: ServiceNow, Inc.
    Inventors: Prabodh Saha, Amit Kumar Mall, Manojkumar Haridas Shende
  • LOCK SCHEDULING USING MACHINE LEARNING
    Publication number: 20200264927
    Abstract: The present approach relates to systems and methods for facilitating run time predictions for cloud-computing automated tasks (e.g., automated tasks), and using the predicted run time to schedule resource locking. A predictive model may predict the automated task run time based on historical run time to completion, and the run time may be updated using machine learning. Resource lock schedules may be determined for a queue of automated tasks utilizing the resource based on the predicted run time for the various types of automated tasks. The predicted run time may be used to reserve a resource for the given duration, such that the resource is not available for use for another task.
    Type: Application
    Filed: March 19, 2020
    Publication date: August 20, 2020
    Inventors: Prabodh Saha, Amit Kumar Mall, Manojkumar Haridas Shende
  • Lock scheduling using machine learning
    Patent number: 10613899
    Abstract: The present approach relates to systems and methods for facilitating run time predictions for cloud-computing automated tasks (e.g., automated tasks), and using the predicted run time to schedule resource locking. A predictive model may predict the automated task run time based on historical run time to completion, and the run time may be updated using machine learning. Resource lock schedules may be determined for a queue of automated tasks utilizing the resource based on the predicted run time for the various types of automated tasks. The predicted run time may be used to reserve a resource for the given duration, such that the resource is not available for use for another task.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: April 7, 2020
    Assignee: ServiceNow, Inc.
    Inventors: Prabodh Saha, Amit Kumar Mall, Manojkumar Haridas Shende