Patents by Inventor Madhava N.

Madhava N. 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).

  • Using machine learning to monitor link quality and predict link faults
    Patent number: 10805174
    Abstract: A device may receive a trained data model that has been trained using historical link quality information associated with a set of links. The device may determine, after receiving the trained data model, link quality information associated with a link that is actively supporting traffic. The device may classify the link by using the link quality information as input for the data model. The data model may classify the link into a class of a set of classes associated with measuring link quality. The device may determine an actual quality level of the link. The device may selectively update the class of the link after determining the actual link quality of the link. The device may perform one or more actions associated with improving link quality based on classifying the link and/or selectively updating the class of the link.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: October 13, 2020
    Assignee: Juniper Networks, Inc.
    Inventors: Alam Yadav, Madhava N, Saikat Sanyal
  • USING MACHINE LEARNING TO MONITOR LINK QUALITY AND PREDICT LINK FAULTS
    Publication number: 20190268240
    Abstract: A device may receive a trained data model that has been trained using historical link quality information associated with a set of links. The device may determine, after receiving the trained data model, link quality information associated with a link that is actively supporting traffic. The device may classify the link by using the link quality information as input for the data model. The data model may classify the link into a class of a set of classes associated with measuring link quality. The device may determine an actual quality level of the link. The device may selectively update the class of the link after determining the actual link quality of the link. The device may perform one or more actions associated with improving link quality based on classifying the link and/or selectively updating the class of the link.
    Type: Application
    Filed: May 8, 2019
    Publication date: August 29, 2019
    Inventors: Alam YADAV, Madhava N, Saikat Sanyal
  • Using machine learning to monitor link quality and predict link faults
    Patent number: 10298465
    Abstract: A device may receive a trained data model that has been trained using historical link quality information associated with a set of links. The device may determine, after receiving the trained data model, link quality information associated with a link that is actively supporting traffic. The device may classify the link by using the link quality information as input for the data model. The data model may classify the link into a class of a set of classes associated with measuring link quality. The device may determine an actual quality level of the link. The device may selectively update the class of the link after determining the actual link quality of the link. The device may perform one or more actions associated with improving link quality based on classifying the link and/or selectively updating the class of the link.
    Type: Grant
    Filed: August 1, 2017
    Date of Patent: May 21, 2019
    Assignee: Juniper Networks, Inc.
    Inventors: Alam Yadav, Madhava N, Saikat Sanyal
  • USING MACHINE LEARNING TO MONITOR LINK QUALITY AND PREDICT LINK FAULTS
    Publication number: 20190044824
    Abstract: A device may receive a trained data model that has been trained using historical link quality information associated with a set of links. The device may determine, after receiving the trained data model, link quality information associated with a link that is actively supporting traffic. The device may classify the link by using the link quality information as input for the data model. The data model may classify the link into a class of a set of classes associated with measuring link quality. The device may determine an actual quality level of the link. The device may selectively update the class of the link after determining the actual link quality of the link. The device may perform one or more actions associated with improving link quality based on classifying the link and/or selectively updating the class of the link.
    Type: Application
    Filed: August 1, 2017
    Publication date: February 7, 2019
    Inventors: Alam Yadav, Madhava N., Saikat Sanyal