Patents by Inventor Shubham Shashikant Patil

Shubham Shashikant Patil 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).

  • SYSTEM AND METHOD FOR SECURITY SCANNING AND PATCHING SDDCS IN A MULTI-CLOUD ENVIRONMENT
    Publication number: 20230351024
    Abstract: System and computer-implemented method for scanning software-defined data centers (SDDCs) for vulnerabilities uses at least one vulnerability detector listed on vulnerability scan definitions for the vulnerabilities to scan at least one component in each of target SDDCs. Each of the vulnerability scan definitions specifies at least one triggering condition for determining a specific vulnerability using the at least one vulnerability detector. An alert is then generated for each vulnerability found in the target SDDCs so that a remediation is performed to resolve that vulnerability.
    Type: Application
    Filed: June 14, 2022
    Publication date: November 2, 2023
    Inventors: JON COOK, Shubham Shashikant Patil, Thomas Ralph
  • Reliability determination of workload migration activities
    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
  • RELIABILITY DETERMINATION OF WORKLOAD MIGRATION ACTIVITIES
    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
  • Reliability determination of workload migration activities
    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
  • RELIABILITY DETERMINATION OF WORKLOAD MIGRATION ACTIVITIES
    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