Patents by Inventor Pranav Narasimmaraj

Pranav Narasimmaraj 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: 11228500
    Abstract: 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.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: January 18, 2022
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Vinay Prabhu, Sarah Adelaide Evans, Jigar Dinesh Parekh, Suraj Rangaswamy, Parth Sanjiv Doshi, Pranav Narasimmaraj, Ashish Shendure
  • Publication number: 20200382381
    Abstract: 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.
    Type: Application
    Filed: May 29, 2019
    Publication date: December 3, 2020
    Inventors: Vinay Prabhu, Sarah Adelaide Evans, Jigar Dinesh Parekh, Suraj Rangaswamy, Parth Sanjiv Doshi, Pranav Narasimmaraj, Ashish Shendure