Patents by Inventor Yogesh Thoppae Ramdoss

Yogesh Thoppae Ramdoss 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).

  • Predicting and mitigating layer-2 anomalies and instabilities
    Patent number: 10862910
    Abstract: In one embodiment, a server may receive both layer-2 topology information and layer-2 telemetry information from a plurality of layer-2 switches. The server may then apply behavioral learning to both the layer-2 topology information and the layer-2 telemetry information to detect layer-2 patterns that are indicative of one or more problematic layer-2 behaviors. As such, based on the behavioral learning, the server then creates predictive rules to be applied within layer-2 networks to predict the one or more problematic layer-2 behaviors. The predictive rules may then be used within a particular layer-2 network to cause i) prediction of one or more particular problematic layer-2 behaviors within the particular layer-2 network based on data from a plurality of switches within the particular layer-2 network, and ii) mitigation against the predicted one or more particular problematic layer-2 behaviors within the particular layer-2 network.
    Type: Grant
    Filed: March 8, 2018
    Date of Patent: December 8, 2020
    Assignee: Cisco Technology, Inc.
    Inventors: Alejandro Alberto Eguiarte Salazar, Nagendra Kumar Nainar, Richard Furr, Yogesh Thoppae Ramdoss
  • PREDICTING AND MITIGATING LAYER-2 ANOMALIES AND INSTABILITIES
    Publication number: 20190281078
    Abstract: In one embodiment, a server may receive both layer-2 topology information and layer-2 telemetry information from a plurality of layer-2 switches. The server may then apply behavioral learning to both the layer-2 topology information and the layer-2 telemetry information to detect layer-2 patterns that are indicative of one or more problematic layer-2 behaviors. As such, based on the behavioral learning, the server then creates predictive rules to be applied within layer-2 networks to predict the one or more problematic layer-2 behaviors. The predictive rules may then be used within a particular layer-2 network to cause i) prediction of one or more particular problematic layer-2 behaviors within the particular layer-2 network based on data from a plurality of switches within the particular layer-2 network, and ii) mitigation against the predicted one or more particular problematic layer-2 behaviors within the particular layer-2 network.
    Type: Application
    Filed: March 8, 2018
    Publication date: September 12, 2019
    Inventors: Alejandro Alberto Eguiarte Salazar, Nagendra Kumar Nainar, Richard Furr, Yogesh Thoppae Ramdoss