Patents by Inventor John Matthew Lloyd Bentley

John Matthew Lloyd Bentley 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: 11563650
    Abstract: Optimum software update transmission parameters are determined and used for transmitting a software update from a host to servers of a computer network. The software update is transmitted while the servers are live and required to meet certain quality of service requirements for tenants of the computer network. Transmission parameters for transmitting the software update are adjusted and updated based on service performance data. Based on iterative adjustments, optimum transmission parameters may be determined. Additionally or alternatively, machine learning is used to generate a model that determines predicted optimum transmission parameters. The predicted optimum transmission parameters may be initially used for transmitting a software update, while the transmission parameters continue to be adjusted throughout transmission.
    Type: Grant
    Filed: April 29, 2021
    Date of Patent: January 24, 2023
    Assignee: Oracle International Corporation
    Inventors: John Matthew Lloyd Bentley, Sanjeev R. Sondur, Raja Ramaswamy, Nitin B. Agrawal
  • Publication number: 20210250254
    Abstract: Optimum software update transmission parameters are determined and used for transmitting a software update from a host to servers of a computer network. The software update is transmitted while the servers are live and required to meet certain quality of service requirements for tenants of the computer network. Transmission parameters for transmitting the software update are adjusted and updated based on service performance data. Based on iterative adjustments, optimum transmission parameters may be determined. Additionally or alternatively, machine learning is used to generate a model that determines predicted optimum transmission parameters. The predicted optimum transmission parameters may be initially used for transmitting a software update, while the transmission parameters continue to be adjusted throughout transmission.
    Type: Application
    Filed: April 29, 2021
    Publication date: August 12, 2021
    Applicant: Oracle International Corporation
    Inventors: John Matthew Lloyd Bentley, Sanjeev R. Sondur, Raja Ramaswamy, Nitin B. Agrawal
  • Patent number: 11032161
    Abstract: Optimum software update transmission parameters are determined and used for transmitting a software update from a host to servers of a computer network. The software update is transmitted while the servers are live and required to meet certain quality of service requirements for tenants of the computer network. Transmission parameters for transmitting the software update are adjusted and updated based on service performance data. Based on iterative adjustments, optimum transmission parameters may be determined. Additionally or alternatively, machine learning is used to generate a model that determines predicted optimum transmission parameters. The predicted optimum transmission parameters may be initially used for transmitting a software update, while the transmission parameters continue to be adjusted throughout transmission.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: June 8, 2021
    Assignee: Oracle International Corporation
    Inventors: John Matthew Lloyd Bentley, Sanjeev R. Sondur, Raja Ramaswamy, Nitin B. Agrawal
  • Publication number: 20210083950
    Abstract: Optimum software update transmission parameters are determined and used for transmitting a software update from a host to servers of a computer network. The software update is transmitted while the servers are live and required to meet certain quality of service requirements for tenants of the computer network. Transmission parameters for transmitting the software update are adjusted and updated based on service performance data. Based on iterative adjustments, optimum transmission parameters may be determined. Additionally or alternatively, machine learning is used to generate a model that determines predicted optimum transmission parameters. The predicted optimum transmission parameters may be initially used for transmitting a software update, while the transmission parameters continue to be adjusted throughout transmission.
    Type: Application
    Filed: September 27, 2019
    Publication date: March 18, 2021
    Applicant: Oracle International Corporation
    Inventors: John Matthew Lloyd Bentley, Sanjeev R. Sondur, Raja Ramaswamy, Nitin B. Agrawal