Patents by Inventor Nitin Madhusudan Agrawal

Nitin Madhusudan Agrawal 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: 11573842
    Abstract: Techniques for determining reliability of a workload migration activity are disclosed. In one embodiment, sub-tasks associated with the workload migration activity may be determined. Further, statistical data associated with an execution of the sub-tasks corresponding to different instances of the workload migration activity may be retrieved. Furthermore, a reliability model may be trained through machine learning using the statistical data to determine reliability of the workload migration activity. Then, the reliability of a new workload migration activity may be determined using the trained reliability model.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: February 7, 2023
    Assignee: VMWARE, INC.
    Inventors: Pramod Kumar P, Keerthi B Kumar, Nitin Madhusudan Agrawal, Shubham Shashikant Patil
  • Publication number: 20210255904
    Abstract: Techniques for determining reliability of a workload migration activity are disclosed. In one embodiment, sub-tasks associated with the workload migration activity may be determined. Further, statistical data associated with an execution of the sub-tasks corresponding to different instances of the workload migration activity may be retrieved. Furthermore, a reliability model may be trained through machine learning using the statistical data to determine reliability of the workload migration activity. Then, the reliability of a new workload migration activity may be determined using the trained reliability model.
    Type: Application
    Filed: April 9, 2021
    Publication date: August 19, 2021
    Inventors: Pramod KUMAR P, Keerthi B. KUMAR, Nitin Madhusudan AGRAWAL, Shubham Shashikant PATIL
  • Patent number: 10990452
    Abstract: Techniques for determining reliability of a workload migration activity are disclosed. In one embodiment, sub-tasks associated with the workload migration activity may be determined. Further, statistical data associated with an execution of the sub-tasks corresponding to different instances of the workload migration activity may be retrieved. Furthermore, a reliability model may be trained through machine learning using the statistical data to determine reliability of the workload migration activity. Then, the reliability of a new workload migration activity may be determined using the trained reliability model.
    Type: Grant
    Filed: September 19, 2018
    Date of Patent: April 27, 2021
    Assignee: VMWARE, INC.
    Inventors: Pramod Kumar P, Keerthi B Kumar, Nitin Madhusudan Agrawal, Shubham Shashikant Patil
  • Publication number: 20200034211
    Abstract: Techniques for determining reliability of a workload migration activity are disclosed. In one embodiment, sub-tasks associated with the workload migration activity may be determined. Further, statistical data associated with an execution of the sub-tasks corresponding to different instances of the workload migration activity may be retrieved. Furthermore, a reliability model may be trained through machine learning using the statistical data to determine reliability of the workload migration activity. Then, the reliability of a new workload migration activity may be determined using the trained reliability model.
    Type: Application
    Filed: September 19, 2018
    Publication date: January 30, 2020
    Inventors: PRAMOD KUMAR P, Keerthi B. Kumar, Nitin Madhusudan Agrawal, Shubham Shashikant Patil