METHODS AND APPARATUSES FOR DETERMINING PERMANENT MEMORY GROWTH

• US 20110066897A1
• Filed: 09/11/2009
• Published: 03/17/2011
• Est. Priority Date: 09/11/2009
• Status: Abandoned Application

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Garst, Blaine, Beard, Patrick, Holt, Benjamin, Bumgarner, William
• Application Number:
  US12/558,445
• Publication Number:
  US 20110066897A1
• Time in Patent Office: Days
• US Class Current: 714/46
• CPC Class Codes: G06F 11/3612 by runtime analysis performance monitoring G06F11/3466
• CPC Class Codes: G06F 11/366 using diagnostics G06F11/0703 takes precedence

Abstract

Methods and apparatuses that correlate a plurality of snapshots of system resources to identify allocation of permanent resource objects are described. Each snapshot may include an inventory of resource objects already allocated at the time of the snapshot. The plurality of snapshots may be taken at different instants over a period of time. Temporarily allocated resource objects may be filtered from the plurality of snapshots to identify permanent resource objects according to the correlation among the plurality of snapshots.

Claims

1. A computer implemented method, comprising:

obtaining a plurality of snapshots for resource usage at different times, each snapshot indicating a collection of resource objects already allocated at a time of the snapshot;

correlating the plurality of snapshots, the correlation identifying permanent resource objects from the collection of resource objects; and

filtering the plurality of snapshots based on the correlation, wherein the filtered snapshots indicating the permanent resource objects identified.

2. The method of claim 1, wherein the plurality of snapshots include a last snapshot and wherein the correlation comprises:

determining two or more snapshots indicating a common resource object, the two or more snapshots including an earliest snapshot and a latest snapshot for the common resource object among the plurality of snapshots, wherein the common resource object is a permanent resource object if the latest snapshot is the last snapshot.

3. The method of claim 2, wherein each of the two or more snapshots includes a representation representing the common resource object and wherein the representation includes one or more attributes.

4. The method of claim 3, further comprising:

comparing representations of the common resource object among the one or more snapshots, wherein the representations of the common resource object share at least one of the attributes.

5. The method of claim 4, wherein the shared attributes include a type of the common resource object.

6. The method of claim 2, wherein the last usage snapshot indicates a last collection of resource objects and wherein the last collection of resource objects includes the permanent resource objects.

7. The method of claim 1, wherein the filtered snapshot indicates an earliest time for allocating the permanent resource objects identified and wherein each of the permanent resource objects is uniquely indicated in the filtered snapshot among the plurality of filtered snapshots.

8. The method of claim 1, further comprising:

presenting a graphical user interface indicating growth of permanent resource objects for a period of time corresponding to the plurality of snapshots.

9. A computer implemented method, comprising:

obtaining a snapshot of a first collection of memory nodes allocated for a system running an application having an execution state at a first instant;

performing a repeatable action of the application subsequent to the first instant, wherein the application maintains the execution state after the repeatable action;

obtaining a snapshot of a second collection of memory nodes allocated for the system running the application at a second time instance subsequent to the repeatable action; and

identifying one or more memory nodes from the first and second collections of memory nodes, the identified memory nodes representing permanent memory growth of the application along the first and second instants.

10. The method of claim 9, wherein the repeatable action instructs the application to reclaim back each object allocated for the repeatable action.

11. The method of claim 10, wherein the objects includes the one or more memory nodes leaked by the repeatable action.

12. The method of claim 9, wherein the identification comprising:

determining a difference between the first and second collections of memory nodes, wherein the difference indicates the one or more memory nodes are leaked by the repeatable action.

13. The method of claim 9, further comprising:

determining if the one ore more memory nodes leaked by the repeatable action are allocated in a memory cache.

14. The method of claim 9, further comprising:

iterating obtaining snapshots of the collections and the repeatable action;

storing representation of the one ore more memory nodes for each iteration; and

comparing representations stored among multiple iterations to identify permanent memory nodes leaked by the repeatable action for each iteration.

15. The method of claim 14, wherein the permanent memory nodes are represented in each of a plurality of the stored representations and wherein the permanent memory nodes are represented for a latest iteration among the multiple iterations.

16. The method of claim 15, further comprising:

presenting a graphical interface indicating the permanent memory nodes leaked by the repeatable action at each iteration; and

updating the graphical interface at each iteration.

17. A machine-readable storage medium having instructions, when executed by a machine, cause the machine to perform a method, the method comprising:

obtaining a plurality of snapshots for system resource at different times, each snapshot indicating a collection of resource objects already allocated at a time of the snapshot;

correlating the plurality of snapshots, the correlation identifying permanent resource objects from the collection of resource objects; and

filtering the plurality of snapshots based on the correlation, wherein the filtered snapshots indicating the permanent resource objects identified.

18. A machine-readable storage medium having instructions, when executed by a machine, cause the machine to perform a method, the method comprising:

obtaining a snapshot of a first collection of memory nodes allocated for a system running an application having an execution state at a first instant;

performing a repeatable action of the application subsequent to the first instant, wherein the application maintains the execution state after the repeatable action;

obtaining a snapshot of a second collection of memory nodes allocated for the system running the application at a second time instance subsequent to the repeatable action; and

identifying one or more memory nodes from the first and second collections of memory nodes, the identified memory nodes representing permanent memory growth of the application along the first and second instants

19. An apparatus, comprising:

a memory storing executable instructions;

a user interface device;

a processor coupled to user interface device and the memory to execute the executable instructions from the memory, the processor being configured to;

obtain a snapshot of a collection of memory nodes allocated in the memory for an application;

perform a repeatable action of the application subsequent to the obtaining the snapshot;

repeat the obtaining the snapshot and the repeatable action;

correlate representations of collections of memory nodes among multiple iterations to identify permanent memory nodes leaked by the repeatable action for each of the multiple iterations; and

presenting a history of the permanent memory nodes leaked by the repeatable action across the multiple iterations.