Patents by Inventor Thomas Michael Repede

Thomas Michael Repede 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).

  • Application performance monitoring using evolving functions
    Patent number: 10229028
    Abstract: A system for managing application performance performs a learning phase and a monitoring phase. One embodiment of the learning phase comprises monitoring performance of multiple components of a software system to create first monitored component data for the multiple components and automatically identifying correlation between the components and a performance metric based on the first monitored data. The monitoring phase comprises monitoring performance of the multiple components of the software system to create second monitored component data for the multiple components, using the identified correlation to predict the performance metric, calculating the actual performance metric based on the second monitored component data, and reporting a performance problem if the actual performance metric differs from the predicted performance metric by more than a threshold.
    Type: Grant
    Filed: March 16, 2015
    Date of Patent: March 12, 2019
    Assignee: CA, Inc.
    Inventors: Mark Jacob Addleman, Jay Martin Cohen, Thomas Michael Repede, Gregory Neil MacKinnon
  • APPLICATION PERFORMANCE MONITORING USING EVOLVING FUNCTIONS
    Publication number: 20160274990
    Abstract: A system for managing application performance performs a learning phase and a monitoring phase. One embodiment of the learning phase comprises monitoring performance of multiple components of a software system to create first monitored component data for the multiple components and automatically identifying correlation between the components and a performance metric based on the first monitored data. The monitoring phase comprises monitoring performance of the multiple components of the software system to create second monitored component data for the multiple components, using the identified correlation to predict the performance metric, calculating the actual performance metric based on the second monitored component data, and reporting a performance problem if the actual performance metric differs from the predicted performance metric by more than a threshold.
    Type: Application
    Filed: March 16, 2015
    Publication date: September 22, 2016
    Applicant: CA, INC.
    Inventors: Mark Jacob Addleman, Jay Martin Cohen, Thomas Michael Repede, Gregory Neil MacKinnon