公开(公告)号：US20210250254A1

公开(公告)日：2021-08-12

申请号：US17244946

申请日：2021-04-29

Applicant: Oracle International Corporation

Inventor： John Matthew Lloyd Bentley ,  Sanjeev R. Sondur ,  Raja Ramaswamy ,  Nitin B. Agrawal

IPC: H04L12/24 ,  H04L29/08

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.

公开(公告)号：US20210083950A1

公开(公告)日：2021-03-18

申请号：US16586710

申请日：2019-09-27

Applicant: Oracle International Corporation

Inventor： John Matthew Lloyd Bentley ,  Sanjeev R. Sondur ,  Raja Ramaswamy ,  Nitin B. Agrawal

IPC: H04L12/24 ,  H04L29/08

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.

公开(公告)号：US11563650B2

公开(公告)日：2023-01-24

申请号：US17244946

申请日：2021-04-29

Applicant: Oracle International Corporation

Inventor： John Matthew Lloyd Bentley ,  Sanjeev R. Sondur ,  Raja Ramaswamy ,  Nitin B. Agrawal

IPC: H04L41/5025 ,  H04L67/00 ,  H04L41/5054 ,  H04L41/14 ,  H04L41/16 ,  H04L41/082

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.

公开(公告)号：US11032161B2

公开(公告)日：2021-06-08

申请号：US16586710

申请日：2019-09-27

Applicant: Oracle International Corporation

Inventor： John Matthew Lloyd Bentley ,  Sanjeev R. Sondur ,  Raja Ramaswamy ,  Nitin B. Agrawal

IPC: H04L12/24 ,  H04L29/08

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.