The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 12, 2019

Filed:

Mar. 16, 2015
Applicant:

Ca, Inc., New York, NY (US);

Inventors:

Mark Jacob Addleman, Oakland, CA (US);

Jay Martin Cohen, Farmingdale, NY (US);

Thomas Michael Repede, Palatine, IL (US);

Gregory Neil MacKinnon, Stow, MA (US);

Assignee:

CA, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); G06F 11/30 (2006.01); G06F 11/32 (2006.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 11/3409 (2013.01); G06F 11/3003 (2013.01); G06F 11/3072 (2013.01); G06F 11/3428 (2013.01); G06F 11/3452 (2013.01); G06F 11/3466 (2013.01); G06F 11/079 (2013.01); G06F 11/32 (2013.01); G06F 2201/81 (2013.01); G06F 2201/865 (2013.01);
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.


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