Patents by Inventor Vardhan Vinay Thigle

Vardhan Vinay Thigle 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).

  • High granularity link oversubscription detection
    Patent number: 9998349
    Abstract: An analytics and diagnostic node according to the present disclosure monitors oversubscription and determines flow metrics by receiving mirror command frames from one or more switching nodes. The mirror command frames could correspond to a multiple flows traversing over a connection within a network. The analytics and diagnostic node collects at least one latency metric for each of the flows using timestamps found within the mirror command frames. Based on the latency metrics and timestamps, the analytic diagnostic node determines an average data rate for each of the flows. The analytics and diagnostic node also computes the cumulative data rates corresponding to different bucket intervals based on the average data rates. To detect oversubscription, the analytics and diagnostic node compares the cumulative data rates with one or more oversubscription rules.
    Type: Grant
    Filed: September 23, 2016
    Date of Patent: June 12, 2018
    Assignee: Brocade Communications Systems LLC
    Inventors: Sathish Kumar Gnanasekaran, Dennis Hideo Makishima, Vardhan Vinay Thigle, Vidhyashankar Gowrisankaran
  • High Granularity Link Oversubscription Detection
    Publication number: 20170093678
    Abstract: An analytics and diagnostic node according to the present disclosure monitors oversubscription and determines flow metrics by receiving mirror command frames from one or more switching nodes. The mirror command frames could correspond to a multiple flows traversing over a connection within a network. The analytics and diagnostic node collects at least one latency metric for each of the flows using timestamps found within the mirror command frames. Based on the latency metrics and timestamps, the analytic diagnostic node determines an average data rate for each of the flows. The analytics and diagnostic node also computes the cumulative data rates corresponding to different bucket intervals based on the average data rates. To detect oversubscription, the analytics and diagnostic node compares the cumulative data rates with one or more oversubscription rules.
    Type: Application
    Filed: September 23, 2016
    Publication date: March 30, 2017
    Inventors: Sathish Kumar Gnanasekaran, Dennis Hideo Makishima, Vardhan Vinay Thigle, Vidhyashankar Gowrishankar