Patents by Inventor Devin Conley

Devin Conley 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).

  • Anomaly recognition in information technology environments
    Patent number: 11321164
    Abstract: A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: May 3, 2022
    Assignee: International Business Machines Corporation
    Inventors: Chris Moss, Simon J. Kofkin-Hansen, Jordan Shamir, Devin Conley, James Patrick Hoff, Iain Mccown, Scott Moonen, Bryan M. Buckland
  • ANOMALY CLASSIFICATION IN INFORMATION TECHNOLOGY ENVIRONMENTS
    Publication number: 20210406112
    Abstract: A method comprises receiving a set of log files that correspond to a detected anomaly in a software system. The set of log files are input into a first classification algorithm. A set of classified log events is received from the first classification algorithm. The set of classified log events is input into a second classification algorithm. A classification of the detected anomaly is obtained from the second classification algorithm.
    Type: Application
    Filed: June 29, 2020
    Publication date: December 30, 2021
    Inventors: Chris Moss, Simon J. Kofkin-Hansen, Jordan Shamir, Devin Conley, James Patrick Hoff, Iain Mccown, Scott Moonen, Bryan M. Buckland
  • ANOMALY RECOGNITION IN INFORMATION TECHNOLOGY ENVIRONMENTS
    Publication number: 20210406106
    Abstract: A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.
    Type: Application
    Filed: June 29, 2020
    Publication date: December 30, 2021
    Inventors: Chris Moss, Simon J. Kofkin-Hansen, Jordan Shamir, Devin Conley, James Patrick Hoff, Iain Mccown, Scott Moonen, Bryan M. Buckland