Patents by Inventor Bhaskaran Devaraj

Bhaskaran Devaraj 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).

  • Anomalous event detection based on metrics pertaining to a production system
    Patent number: 9848007
    Abstract: A machine may be configured to detect an anomalous event based on metrics pertaining to a production system. For example, the machine analyzes a time series of values associated with a metric pertaining to a production system. The machine identifies a pattern associated with the time series based on the analysis of the time series. The pattern may describe an occurrence of particular values at particular timestamps of the time series. The machine determines a range of potential values for a next timestamp in the time series based on the pattern. The machine assigns a score value to an actual value associated with the metric and corresponding to the next timestamp. The assigning of the score value may be based on a comparison of the actual value and the range of potential values. The machine identifies the actual value as a candidate for an alert based on the score value.
    Type: Grant
    Filed: September 30, 2014
    Date of Patent: December 19, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jieying Chen, Xiao Li, Deepak Kumar, Anmol Bhasin, Bhaskaran Devaraj
  • ANOMALOUS EVENT DETECTION BASED ON METRICS PERTAINING TO A PRODUCTION SYSTEM
    Publication number: 20160065604
    Abstract: A machine may be configured to detect an anomalous event based on metrics pertaining to a production system. For example, the machine analyzes a time series of values associated with a metric pertaining to a production system. The machine identifies a pattern associated with the time series based on the analysis of the time series. The pattern may describe an occurrence of particular values at particular timestamps of the time series. The machine determines a range of potential values for a next timestamp in the time series based on the pattern. The machine assigns a score value to an actual value associated with the metric and corresponding to the next timestamp. The assigning of the score value may be based on a comparison of the actual value and the range of potential values. The machine identifies the actual value as a candidate for an alert based on the score value.
    Type: Application
    Filed: September 30, 2014
    Publication date: March 3, 2016
    Inventors: Jieying Chen, Xiao Li, Deepak Kumar, Anmol Bhasin, Bhaskaran Devaraj