Patents by Inventor Venkatesh Kempapura Sharma

Venkatesh Kempapura Sharma 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: 11604702
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks of parallel jobs on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Grant
    Filed: May 24, 2021
    Date of Patent: March 14, 2023
    Assignee: Rubrik, Inc.
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Patent number: 11243842
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Grant
    Filed: April 15, 2021
    Date of Patent: February 8, 2022
    Assignee: Rubrik, Inc.
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Publication number: 20210326210
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks of parallel jobs on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Application
    Filed: May 24, 2021
    Publication date: October 21, 2021
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Patent number: 11086723
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks of parallel jobs on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: August 10, 2021
    Assignee: Rubrik, Inc.
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Publication number: 20210232457
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Application
    Filed: April 15, 2021
    Publication date: July 29, 2021
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Patent number: 10997033
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: May 4, 2021
    Assignee: Rubrik, Inc.
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Publication number: 20200250042
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar
  • Publication number: 20200250044
    Abstract: A streaming distributed decentralized database task system can perform multiple tasks of parallel jobs on clusters of nodes without overloading the clusters' computational resources, such as disk, memory, processors, and network bandwidth. A cluster master can manage a job and add items to node queues. A node manager accepts or rejects queue items based on streaming task limits that are applied at the node level.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Venkatesh Kempapura Sharma, Prasenjit Sarkar