Performance modeling based upon empirical measurements of synchronization points

• US 20020095434A1
• Filed: 01/12/2001
• Published: 07/18/2002
• Est. Priority Date: 01/12/2001
• Status: Abandoned Application

• Current Assignee: Sun Microsystems Incorporated (Oracle Corporation)
• Original Assignee: Sun Microsystems Incorporated (Oracle Corporation)
• Inventors: Lane, Robert M.
• Application Number:
  US09/760,137
• Publication Number:
  US 20020095434A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3447 Performance evaluation by modeling
• CPC Class Codes: G06F 11/3457 Performance evaluation by simulation
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring

Abstract

One embodiment of the present invention provides a system that uses empirical measurements of accesses to synchronization points within an application to construct a performance model for the application. This system operates by modifying the application to record statistics related to the synchronization points within the application. The system then runs the application to produce the statistics related to the synchronization points. Next, the system constructs the performance model based upon the statistics, and then uses the performance model to predict a performance of the application. Through use of such a performance model, bottlenecks can be identified and strategies to alleviate the bottlenecks can be devised. Furthermore, experiments can be performed on the model in order to select an optimum strategy for implementation.

Claims

1. A method for using empirical measurements of accesses to synchronization points within an application to construct a performance model for the application, comprising:

modifying the application to record statistics related to the synchronization points within the application;

running the application to produce the statistics related to synchronization points;

constructing the performance model based upon the statistics; and

using the performance model to predict a performance of the application.

2. The method of claim 1,

wherein constructing the performance model based upon the statistics involves constructing an analytic model for the application;

and

wherein using the performance model to predict the performance involves numerically solving the analytic model to predict the performance for the application.

3. The method of claim 1,

wherein constructing the performance model based upon the statistics involves constructing a simulation model for the application;

and

wherein using the performance model to predict the performance involves running the simulation model to predict the performance for the application.

4. The method of claim 1, wherein modifying the application involves compiling the application with a profiling option in order to record the statistics related to the synchronization points.

5. The method of claim 1, wherein modifying the application involves modifying the executable code of the application to record the statistics during system calls that operate on the synchronization points.

6. The method of claim 1, wherein the statistics include:

an identifier for a calling function;

an identifier for a mutual exclusion variable;

a time spent holding the mutual exclusion variable; and

a frequency of accesses to the mutual exclusion variable.

7. The method of claim 1, wherein the statistics include a directed call graph specifying an ordering of function calls.

8. The method of claim 7, wherein constructing the performance model involves constructing a queuing model, wherein each synchronization point is a service center for jobs representing processes that circulate between service centers in a manner specified by the directed call graph.

9. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for using empirical measurements of accesses to synchronization points within an application to construct a performance model for the application, the method comprising:

modifying the application to record statistics related to the synchronization points within the application;

running the application to produce the statistics related to synchronization points;

constructing the performance model based upon the statistics; and

using the performance model to predict a performance of the application.

10. The computer-readable storage medium of claim 9,

wherein constructing the performance model based upon the statistics involves constructing an analytic model for the application;

and

wherein using the performance model to predict the performance involves numerically solving the analytic model to predict the performance for the application.

11. The computer-readable storage medium of claim 9,

wherein constructing the performance model based upon the statistics involves constructing a simulation model for the application;

and

wherein using the performance model to predict the performance involves running the simulation model to predict the performance for the application.

12. The computer-readable storage medium of claim 9, wherein modifying the application involves compiling the application with a profiling option in order to record the statistics related to the synchronization points.

13. The computer-readable storage medium of claim 9, wherein modifying the application involves modifying the executable code of the application to record the statistics during system calls that operate on the synchronization points.

14. The computer-readable storage medium of claim 9, wherein the statistics include:

an identifier for a calling function;

an identifier for a mutual exclusion variable;

a time spent holding the mutual exclusion variable; and

a frequency of accesses to the mutual exclusion variable.

15. The computer-readable storage medium of claim 9, wherein the statistics include a directed call graph specifying an ordering of function calls.

16. The computer-readable storage medium of claim 15, wherein constructing the performance model involves constructing a queuing model, wherein each synchronization point is a service center for jobs representing processes that circulate between service centers in a manner specified by the directed call graph.

18. The apparatus of claim 17,

wherein the performance model construction mechanism is configured to construct an analytic model for the application;

and

wherein the performance predicting mechanism is configured to predict the performance of the application by numerically solving the analytic model.

19. The apparatus of claim 17,

wherein the performance model construction mechanism is configured to construct a simulation model for the application;

and

wherein the performance predicting mechanism is configured to predict the performance of the application by running the simulation model.

20. The apparatus of claim 17, wherein the modification mechanism is configured to compile the application with a profiling option in order to record the statistics related to the synchronization points.

21. The apparatus of claim 17, wherein the modification mechanism is configured to modify the executable code of the application to record the statistics during system calls that operate on the synchronization points.

22. The apparatus of claim 17, wherein the statistics include:

an identifier for a calling function;

an identifier for a mutual exclusion variable;

a time spent holding the mutual exclusion variable; and

a frequency of accesses to the mutual exclusion variable.

23. The apparatus of claim 17, wherein the statistics include a directed call graph specifying an ordering of function calls.

24. The apparatus of claim 23, wherein the performance model construction mechanism is configured to construct a queuing model, wherein each synchronization point is a service center for jobs representing processes that circulate between service centers in a manner specified by the directed call graph.

17. An apparatus for using empirical measurements of accesses to synchronization points within an application to construct a performance model for the application, comprising:

a modification mechanism that is configured to modify the application to record statistics related to the synchronization points within the application;

an execution mechanism that is configured to run the application to produce the statistics related to synchronization points;

a performance model construction mechanism that is configured to construct the performance model based upon the statistics; and

a performance predicting mechanism that is configured to use the performance model to predict a performance of the application.