公开(公告)号：US11228500B2

公开(公告)日：2022-01-18

申请号：US16424776

申请日：2019-05-29

申请人： Cisco Technology, Inc.

发明人： Vinay Prabhu ,  Sarah Adelaide Evans ,  Jigar Dinesh Parekh ,  Suraj Rangaswamy ,  Parth Sanjiv Doshi ,  Pranav Narasimmaraj ,  Ashish Shendure

IPC分类号： H04L12/24

摘要： Systems, methods, and computer-readable media for designing network performance and configuration include determining one or more use cases for a network to be provisioned, based on at least one or more business verticals related to a customer of the network. A data plane scale is determined from the use cases and an initial data plane scale generated using a linear regression on one or more data plane parameters. The data plane parameters include a platform type, feature set, packet size, or software version of the network. A control plane scale is determined from the use cases and an initial control plane scale generated using a linear regression on one or more control plane parameters of the network. The control plane parameters include a platform type, feature set, or software version of the network. The network is provisioned for the data plane scale and the control plane scale.

公开(公告)号：US20200382381A1

公开(公告)日：2020-12-03

申请号：US16424776

申请日：2019-05-29

申请人： Cisco Technology, Inc.

发明人： Vinay Prabhu ,  Sarah Adelaide Evans ,  Jigar Dinesh Parekh ,  Suraj Rangaswamy ,  Parth Sanjiv Doshi ,  Pranav Narasimmaraj ,  Ashish Shendure

IPC分类号： H04L12/24

摘要： Systems, methods, and computer-readable media for designing network performance and configuration include determining one or more use cases for a network to be provisioned, based on at least one or more business verticals related to a customer of the network. A data plane scale is determined from the use cases and an initial data plane scale generated using a linear regression on one or more data plane parameters. The data plane parameters include a platform type, feature set, packet size, or software version of the network. A control plane scale is determined from the use cases and an initial control plane scale generated using a linear regression on one or more control plane parameters of the network. The control plane parameters include a platform type, feature set, or software version of the network. The network is provisioned for the data plane scale and the control plane scale.