Processor clocking policies for mobile computing devices

1. A method comprising, by a server computing machine:

receiving activity data from a plurality of computing devices, wherein the activity data is associated with running a particular application;

identifying, based on the activity data, a pattern of execution related to executing one or more sequences of instructions associated with running the particular application;

determining, based on the pattern of execution, a clocking policy for running the particular application, wherein the clocking policy is configured to modify a clock speed of one or more processors of a particular computing device while running the particular application, wherein the clocking policy is further configured to cause a processor of the particular computing device to execute the sequence of instructions at a reduced clock speed before or during an external operation; and

sending the clocking policy to the particular computing device.

2. The method of claim 1 , further comprising:

receiving, from one or more of the plurality of computing devices, higher-level information, wherein the higher-level information comprises user activity information, application information, or device information.

3. The method of claim 2 , wherein the clocking policy is determined further based on the higher-level information.

4. The method of claim 1 , wherein the activity data is stored in one or more data stores associated with the server computing machine.

5. The method of claim 1 , wherein the activity data is received from the plurality of computing devices on a periodic basis.

6. The method of claim 1 , wherein the plurality of computing devices are associated with a plurality of users of a social-networking system.

7. The method of claim 1 , wherein the particular computing device is a mobile computing device.

8. The method of claim 1 , wherein the pattern of execution comprises an active period of execution of the sequence of instructions followed by an idle period, the idle period occurring before or during performance of the external operations.

9. A system comprising:

one or more processors; and

one or more computer-readable non-transitory storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the system to:

receive activity data from a plurality of computing devices, wherein the activity data is associated with running a particular application;

identify, based on the activity data, a pattern of execution related to executing one or more sequences of instructions associated with running the particular application;

determine, based on the pattern of execution, a clocking policy for running the particular application, wherein the clocking policy is configured to modify a clock speed of one or more processors of a particular computing device while running the particular application, wherein the clocking policy is further configured to cause a processor of the particular computing device to execute the sequence of instructions at a reduced clock speed before or during an external operation; and

send the clocking policy to the particular computing device.

10. The system of claim 9 , wherein the instructions are further operable when executed by one or more of the processors to cause the system to:

receive, from one or more of the plurality of computing devices, higher-level information, wherein the higher-level information comprises user activity information, application information, or device information.

11. The system of claim 10 , wherein the clocking policy is determined further based on the higher-level information.

12. The system of claim 9 , wherein the clocking policy is configured to cause a processor of the particular computing device to execute the sequence of instructions at a reduced clock speed before or during an external operation to reduce idling of the processor during the external operation.

13. The system of claim 9 , wherein the pattern of execution comprises an active period of execution of the sequence of instructions followed by an idle period, the idle period occurring before or during performance of the external operations.

14. One or more computer-readable non-transitory storage media comprising software that is operable when executed to:

receive activity data from a plurality of computing devices, wherein the activity data is associated with running a particular application;

identify, based on the activity data, a pattern of execution related to executing one or more sequences of instructions associated with running the particular application;

determine, based on the pattern of execution, a clocking policy for running the particular application, wherein the clocking policy is configured to modify a clock speed of one or more processors of a particular computing device while running the particular application, wherein the clocking policy is further configured to cause a processor of the particular computing device to execute the sequence of instructions at a reduced clock speed before or during an external operation; and

send the clocking policy to the particular computing device.

15. The media of claim 14 , wherein the software is further operable when executed to:

receive, from one or more of the plurality of computing devices, higher-level information, wherein the higher-level information comprises user activity information, application information, or device information.

16. The media of claim 15 , wherein the clocking policy is determined further based on the higher-level information.

17. The media of claim 14 , wherein the plurality of computing devices are associated with a plurality of users of a social-networking system.

18. The media of claim 14 , wherein the pattern of execution comprises an active period of execution of the sequence of instructions followed by an idle period, the idle period occurring before or during performance of the external operations.

19. The media of claim 14 , wherein the activity data is stored in one or more data stores associated with a server computing machine.

20. The media of claim 14 , wherein the activity data is received from the plurality of computing devices on a periodic basis.