Patents by Inventor Vysakh K. Chandran

Vysakh K. Chandran 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: 11025500
    Abstract: Provisioning infrastructure from visual diagrams can include selecting, with a first neural network, regions of interest within an infrastructure architecture diagram that corresponds to an infrastructure offered by an infrastructure provider for supporting a computer application. With a second neural network, infrastructure resources and interconnections among the infrastructure resources can be identified based on objects appearing within the regions of interest. Properties corresponding to the infrastructure resources identified can be determined with a third neural network. With a fourth neural network, an infrastructure architecture specification can be generated, the infrastructure architecture specification specifying the infrastructure resources, corresponding properties of the infrastructure resources, and interconnections among the infrastructure resources. The infrastructure architecture specification can be used to configure networked resources to support the computer application.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: June 1, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Vysakh K. Chandran, Debasisha Padhi, Souri Subudhi
  • Publication number: 20210021479
    Abstract: Provisioning infrastructure from visual diagrams can include selecting, with a first neural network, regions of interest within an infrastructure architecture diagram that corresponds to an infrastructure offered by an infrastructure provider for supporting a computer application. With a second neural network, infrastructure resources and interconnections among the infrastructure resources can be identified based on objects appearing within the regions of interest. Properties corresponding to the infrastructure resources identified can be determined with a third neural network. With a fourth neural network, an infrastructure architecture specification can be generated, the infrastructure architecture specification specifying the infrastructure resources, corresponding properties of the infrastructure resources, and interconnections among the infrastructure resources. The infrastructure architecture specification can be used to configure networked resources to support the computer application.
    Type: Application
    Filed: July 17, 2019
    Publication date: January 21, 2021
    Inventors: Vysakh K. Chandran, Debasisha Padhi, Souri Subudhi
  • Patent number: 9940466
    Abstract: A computer-implemented agent process running on a first computer automatically intercepts a command issued from the first computer to execute on a target computer prior to invocation of the command on the target computer. A server profile built for an application running on the target computer that supports the command may be retrieved. At least based on the server profile a risk enforcement policy is dynamically constructed. Based on the risk enforcement policy, one or more computer-executable enforcement actions to perform prior to sending the command to the target computer for execution is determined. Based on executing of one or more of the computer-executable enforcement actions, the command may be transmitted to execute on the target computer or prevented from executing on the target computer.
    Type: Grant
    Filed: December 7, 2016
    Date of Patent: April 10, 2018
    Assignee: International Business Machines Corporation
    Inventors: Constantin M. Adam, Nikolaos Anerousis, Vysakh K. Chandran, Milton H. Hernandez, Debasisha K. Padhi, Yaoping Ruan, Fabio M. Tanada, Frederick Y.-F. Wu, Sai Zeng
  • Publication number: 20170177878
    Abstract: A computer-implemented agent process running on a first computer automatically intercepts a command issued from the first computer to execute on a target computer prior to invocation of the command on the target computer. A server profile built for an application running on the target computer that supports the command may be retrieved. At least based on the server profile a risk enforcement policy is dynamically constructed. Based on the risk enforcement policy, one or more computer-executable enforcement actions to perform prior to sending the command to the target computer for execution is determined. Based on executing of one or more of the computer-executable enforcement actions, the command may be transmitted to execute on the target computer or prevented from executing on the target computer.
    Type: Application
    Filed: December 7, 2016
    Publication date: June 22, 2017
    Inventors: Constantin M. Adam, Nikolaos Anerousis, Vysakh K. Chandran, Milton H. Hernandez, Debasisha K. Padhi, Yaoping Ruan, Fabio M. Tanada, Frederick Y.-F. Wu, Sai Zeng
  • Patent number: 9584378
    Abstract: A computer-implemented agent process running on a first computer automatically intercepts a command issued from the first computer to execute on a target computer prior to invocation of the command on the target computer. A server profile built for an application running on the target computer that supports the command may be retrieved. At least based on the server profile a risk enforcement policy is dynamically constructed. Based on the risk enforcement policy, one or more computer-executable enforcement actions to perform prior to sending the command to the target computer for execution is determined. Based on executing of one or more of the computer-executable enforcement actions, the command may be transmitted to execute on the target computer or prevented from executing on the target computer.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: February 28, 2017
    Assignee: International Business Machines Corporation
    Inventors: Constantin M Adam, Nikolaos Anerousis, Vysakh K. Chandran, Milton H. Hernandez, Debasisha K. Padhi, Yaoping Ruan, Fabio M. Tanada, Frederick Y.-F. Wu, Sai Zeng