MONITORING THE PERFORMANCE OF THREADED APPLICATIONS

• US 20170153962A1
• Filed: 11/30/2015
• Published: 06/01/2017
• Est. Priority Date: 11/30/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Malecki, Bartlomiej T., Skibski, Konrad K., Biegun, Arkadiusz W., Chmielecki, Tomasz D.
• Application Number:
  US14/953,998
• Publication Number:
  US 20170153962A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/3024 where the computing system component is a central processing unit [CPU]
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2201/865 Monitoring of software

Abstract

An ability to monitor the performance of a threaded application is provided. A thread that is executing is detected, wherein the thread is spawned by a threaded application. A thread class of the thread is determined. A performance metric of the thread is measured. A trend that describes a consumption of the performance metric as a function of percent execution time is interpolated. In response to determining that a threshold associated with the performance metric is exceeded based on a comparison of the trend to a trend template that is associated with the performance metric, an alert is issued. The alert identifies the thread as an abnormally executed thread in order to trigger a corrective action that improves a performance of a computing device that is configured to execute the threaded application.

Claims

1. A method comprising:

detecting, by one or more computer processors, a thread that is executing, wherein the thread is spawned by a threaded application;

determining, by one or more computer processors, a thread class of the thread;

measuring, by one or more computer processors, a performance metric of the thread based on the thread class;

interpolating, by one or more computer processors, a trend that describes a consumption of the performance metric as a function of percent execution time; and

in response to determining, by one or more computer processors, that a threshold associated with the performance metric is exceeded based on a comparison of the trend to a trend template that is associated with the performance metric, issuing, by one or more computer processors, an alert identifying the thread as an abnormally executed thread in order to trigger a corrective action that improves a performance of a computing device that is configured to execute the threaded application.

2. The method of claim 1, wherein the trend template is a predefined template and the threshold is a predefined threshold.

3. The method of claim 1, wherein the trend template and the threshold are based on measurements of the performance metric in connection with one or more previously executed threads of the thread class.

4. The method of claim 1, wherein the threshold represent a distance between a function that describes the trend and function that describes the trend template.

5. The method of claim 1, wherein the performance metric is a measure of one of processor consumption, memory consumption, and bandwidth consumption.

6. The method of claim 1, wherein the trend that describes the consumption of the performance metric as a function of percent execution time is interpolated via polynomial interpolation to produce an interpolated function.

7. The method of claim 6, wherein the interpolated function is one of a sixth-degree polynomial, a seventh-degree polynomial, and an eighth-degree polynomial.

8. The method of claim 6, further comprising:

compensating, by one or more computer processors, for at least one of background resource consumption and a size of an input by eliminating a constant from the interpolated function.

9. A method comprising:

detecting, by one or more computer processors, a thread that is executing, wherein the thread is spawned by a threaded application;

determining, by one or more computer processors, a thread class of the thread;

measuring, by one or more computer processors, a plurality of performance metrics of the thread based on the thread class;

for each performance metric, interpolating, by one or more computer processors, a respective trend that describes a consumption of a respective performance metric as a function of percent execution time;

for each performance metric, comparing, by one or more computer processors, the respective trend to a respective trend template;

generating, by one or more computer processors, a composite value based on a plurality of trends and a plurality of trend templates; and

in response to determining, by one or more computer processors, that the composite value exceeds every composite threshold value of a plurality of composite threshold values, issuing, by one or more computer processors, an alert identifying the thread as an abnormally executed thread in order to trigger a corrective action that improves a performance a computing device that is configured to execute the threaded application.

10. The method of claim 9, wherein the thread class is associated with a plurality of thread profiles, and each thread profile is associated with a respective composite threshold value of the plurality of composite threshold values.

11. The method of claim 9, wherein each composite threshold value of the plurality of composite threshold values is a sum of constituent threshold values, each constituent threshold value representing a respective threshold distance between a baseline trend and a respective, theoretical trend that represents abnormal performance metric consumption.

12. The method of claim 9, wherein each composite threshold value of the plurality of composite threshold values is an average of constituent threshold values, each constituent threshold value representing a respective threshold distance between a baseline trend and a respective, theoretical trend that represents abnormal performance metric consumption.

13. A method comprising:

detecting, by one or more computer processors, a thread that is executing;

determining, by one or more computer processors, a thread class of the thread;

measuring, by one or more computer processors, a plurality of performance metrics of the thread based on the thread class;

for a first performance metric, calculating, by one or more computer processors, an interpolated trend that describes a consumption of the first performance metric as a function of percent execution time;

in response to determining, by one or more computer processors, that a first trend template that is associated with the first performance metric is invalid, modifying, by one or more computer processors, the first trend template based on the interpolated trend, wherein the first trend template is one of a plurality of trend templates that includes a second trend template, and wherein the second trend template is associated with a second performance metric of the plurality of performance metrics; and

in response to determining, by one or more computer processors, that each template of the plurality of trend templates is valid, modifying, by one or more computer processors, a composite threshold value based on the plurality of trends and the plurality of trend templates, wherein the composite threshold value is associated with the thread class.

14. The method of claim 13, wherein the first trend template is invalid when the first trend template is based on a count of previously executed threads that is less than a threshold count of previously executed threads.

15. The method of claim 13, wherein the first trend template is invalid when a statistical measure of first template exceeds a threshold value of the statistical measure, wherein the statistical measure is selected from a group of statistical measures consisting of an average, a variance, a standard deviation, and a coefficient of determination.

16. A computer program product for comprising:

a computer readable storage medium and program instructions stored on the computer readable storage medium, the program instructions comprising;

program instructions to detect a thread that is executing, wherein the thread is spawned by a threaded application;

program instructions to determine a thread class of the thread;

program instructions to measure a performance metric of the thread based on the thread class;

program instructions to interpolate a trend that describes a consumption of the performance metric as a function of percent execution time; and

program instructions to, in response to determining that a threshold associated with the performance metric is exceeded based on a comparison of the trend to a trend template that is associated with the performance metric, issue an alert identifying the thread as an abnormally executed thread in order to trigger a corrective action that improves a performance of a computing device that is configured to execute the threaded application.

17. The computer program product of claim 16, wherein the trend template is a predefined template and the threshold is a predefined threshold.

18. The computer program product of claim 16, wherein the trend template and the threshold are based on measurements of the performance metric in connection with one or more previously executed threads of the thread class.

19. The computer program product of claim 16, wherein the trend that describes the consumption of the performance metric as a function of percent execution time is interpolated via polynomial interpolation to produce an interpolated function that is one of a sixth-degree polynomial, a seventh-degree polynomial, and an eighth-degree polynomial.

20. The computer program product of claim 19, the program instructions further comprising:

program instructions to compensate for at least one of background resource consumption and a size of an input by eliminating a constant from the interpolated function.

21. A computer system comprising:

one or more computer processors;

one or more computer readable storage media;

program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising;

program instructions to detect a thread that is executing, wherein the thread is spawned by a threaded application;

program instructions to determine a thread class of the thread;

program instructions to measure a performance metric of the thread based on the thread class;

program instructions to interpolate a trend that describes a consumption of the performance metric as a function of percent execution time; and

program instructions to, in response to determining that a threshold associated with the performance metric is exceeded based on a comparison of the trend to a trend template that is associated with the performance metric, issue an alert identifying the thread as an abnormally executed thread in order to trigger a corrective action that improves a performance of the one or more computer processors, wherein the one or more computer processors are configured to execute the threaded application.

22. The computer system of claim 21, wherein the trend template is a predefined template and the threshold is a predefined threshold.

23. The computer system of claim 21, wherein the trend template and the threshold are based on measurements of the performance metric in connection with one or more previously executed threads of the thread class.

24. The computer system of claim 21, wherein the trend that describes the consumption of the performance metric as a function of percent execution time is interpolated via polynomial interpolation to produce an interpolated function that is one of a sixth-degree polynomial, a seventh-degree polynomial, and an eighth-degree polynomial.

25. The computer system of claim 24, the program instructions further comprising:

program instructions to compensate for at least one of background resource consumption and a size of an input by eliminating a constant from the interpolated function.