Patents by Inventor Ryan Sudhakaran

Ryan Sudhakaran 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).

  • Storage anomaly detection
    Patent number: 10372524
    Abstract: The technology described in this document is, among other things, capable of efficiently monitoring storage device signal data for anomalies. In an example method, signal data for a plurality of non-transitory storage devices is collected. The method determines a hyper feature representation from the collected signal data and computes, using the hyper feature representation, scores for statistics associated with the non-transitory storage devices. The method further determines a reduced hyper feature representation aggregating the scores for each of the statistics associated with each of the non-transitory storage devices; generates, using the reduced hyper feature representation, storage device scores for the non-transitory storage devices of the plurality, respectively; and identifies one or more non-transitory storage devices from among the plurality of non-transitory storage devices exhibiting anomalous storage device behavior using the storage device scores.
    Type: Grant
    Filed: July 28, 2016
    Date of Patent: August 6, 2019
    Assignee: Western Digital Technologies, Inc.
    Inventors: Shivkumar Shivaji, Ryan Sudhakaran, Yong Bum Lee, Joel Barajas Zamora
  • Storage Anomaly Detection
    Publication number: 20180032385
    Abstract: The technology described in this document is, among other things, capable of efficiently monitoring storage device signal data for anomalies. In an example method, signal data for a plurality of non-transitory storage devices is collected. The method determines a hyper feature representation from the collected signal data and computes, using the hyper feature representation, scores for statistics associated with the non-transitory storage devices. The method further determines a reduced hyper feature representation aggregating the scores for each of the statistics associated with each of the non-transitory storage devices; generates, using the reduced hyper feature representation, storage device scores for the non-transitory storage devices of the plurality, respectively; and identifies one or more non-transitory storage devices from among the plurality of non-transitory storage devices exhibiting anomalous storage device behavior using the storage device scores.
    Type: Application
    Filed: July 28, 2016
    Publication date: February 1, 2018
    Inventors: Shivkumar Shivaji, Ryan Sudhakaran, Yong Bum Lee, Joel Barajas Zamora