Dynamic adjustment of mobile device based on peer event data

• US 10,554,786 B2
• Filed: 12/07/2018
• Issued: 02/04/2020
• Est. Priority Date: 05/30/2014
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Andrews, Jonathan J., Pollack, Daniel Ben, Tran, Hue Duc, de Lacerda, Joao Pedro Forjaz
• Primary Examiner(s): Tran, Congvan
• Application Number:
  US16/213,887
• Publication Number:
  US 20190109927A1
• Time in Patent Office: 424 Days
• Field of Search: 4551271, 4551273, 455 134, 4554141- 3, 455420, 4554563, 455522, 455572, 455574, 455 95
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06F 9/4843 by program, e.g. task dispatcher, supervisor, operating system
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
• CPC Class Codes: H04W 76/14 Direct-mode setup

Abstract

In some implementations, a mobile device can be configured to monitor environmental, system and user events associated with the mobile device and/or a peer device. The occurrence of one or more events can trigger adjustments to system settings. The mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or communicating with a peer device, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device and/or a peer device to ensure a high quality user experience.

Claims

1. A method comprising:

initializing, by a sampling daemon executing on a mobile device, a heuristic process;

registering the heuristic process with the sampling daemon to cause the heuristic process to receive event data of the mobile device;

obtaining, by the heuristic process, the event data from the sampling daemon;

determining, by the heuristic process, a peer forecast for an attribute specified by the event data;

determining, by the heuristic process, component settings for the mobile device based on the event data and the peer forecast; and

transmitting, by the heuristic process, the component settings to a control multiplexer of the mobile device to adjust settings of one or more components of the mobile device.

2. The method as recited in claim 1, wherein the peer forecast indicates:

(a) a relative likelihood of one or more values for the attribute occurring during a time period relative to all values for the attribute;

or (b) probability scores for all values of the attribute within the time period.

3. The method as recited in claim 1, wherein the registering the heuristic process with the sampling daemon comprises sending a message to the sampling daemon, the message comprising information selected from a group consisting of:

identification of one or more events, indication of one or more thresholds, identification of one or more attributes, and at least one value associated with the one or more attributes.

4. The method as recited in claim 3, further comprising invoking the heuristic process in response to one of the following:

the sampling daemon observing occurrence of the one or more events, the sampling daemon observing the one or more thresholds being achieved, or the sampling daemon observing the at least one value for at least one of the one or more attributes.

5. The method as recited in claim 1, further comprising terminating the heuristic process after registering the heuristic process with the sampling daemon.

6. The method as recited in claim 5, further comprising restarting the heuristic process in response to one of the following:

the sampling daemon observing occurrence of an event, the sampling daemon observing a threshold being achieved, or the sampling daemon observing a value for an attribute, wherein the event, the threshold, and the value for the attribute are provided to the sampling daemon by the heuristic process.

7. The method as recited in claim 6, wherein the event data is related to one or more system components selected from a group consisting of:

an application manager, a sensor, a calendar, and a clock.

8. The method as recited in claim 5, further comprising restarting the heuristic process in response to the sampling daemon determining that a display of the mobile device is off and the mobile device is not playing audio,

wherein the component settings for the mobile device are set to reduce processor power consumption to reduce an operating temperature of the mobile device.

9. A system comprising:

one or more processors; and

a non-transitory computer-readable medium including one or more sequences of instructions which, when executed by the one or more processors, cause;

initializing, by a sampling daemon executing on a mobile device, a heuristic process;

registering the heuristic process with the sampling daemon to cause the heuristic process to receive event data of the mobile device;

obtaining, by the heuristic process, the event data from the sampling daemon;

determining, by the heuristic process, a peer forecast for an attribute specified by the event data;

determining, by the heuristic process, component settings for the mobile device based on the event data and the peer forecast; and

transmitting, by the heuristic process, the component settings to a control multiplexer of the mobile device to adjust settings of one or more components of the mobile device.

10. The system as recited in claim 9, wherein the peer forecast indicates:

(a) a relative likelihood of one or more values for the attribute occurring during a time period relative to all values for the attribute;

or (b) probability scores for all values of the attribute within the time period.

11. The system as recited in claim 9, wherein the instructions that cause registering the heuristic process with the sampling daemon further cause sending a message to the sampling daemon, the message comprising information selected from a group consisting of:

identification of one or more events, indication of one or more thresholds, identification of one or more attributes, and at least one value associated with the one or more attributes.

12. The system as recited in claim 11, wherein the instructions further cause invoking the heuristic process in response to one of the following:

the sampling daemon observing occurrence of the one or more events, the sampling daemon observing the one or more thresholds being achieved, or the sampling daemon observing the at least one value for at least one of the one or more attributes.

13. The system as recited in claim 9, wherein the instructions further cause terminating the heuristic process after registering the heuristic process with the sampling daemon.

14. The system as recited in claim 13, wherein the instructions further cause restarting the heuristic process in response to one of the following:

the sampling daemon observing occurrence of an event, the sampling daemon observing a threshold being achieved, or the sampling daemon observing a value for an attribute, wherein the event, the threshold, and the value for the attribute are provided to the sampling daemon by the heuristic process.

15. The system as recited in claim 14, wherein the event data is related to one or more system components selected from a group consisting of:

an application manager, a sensor, a calendar, and a clock.

16. The system as recited in claim 13, wherein the instructions further cause restarting the heuristic process in response to the sampling daemon determining that a display of the mobile device is off and the mobile device is not playing audio,

wherein the component settings for the mobile device are set to reduce processor power consumption to reduce an operating temperature of the mobile device.

17. A non-transitory computer-readable medium including one or more sequences of instructions which, when executed by one or more processors, cause:

initializing, by a sampling daemon executing on a mobile device, a heuristic process;

registering the heuristic process with the sampling daemon to cause the heuristic process to receive event data of the mobile device;

obtaining, by the heuristic process, the event data from the sampling daemon;

determining, by the heuristic process, a peer forecast for an attribute specified by the event data;

determining, by the heuristic process, component settings for the mobile device based on the event data and the peer forecast; and

transmitting, by the heuristic process, the component settings to a control multiplexer of the mobile device to adjust settings of one or more components of the mobile device.

18. The non-transitory computer-readable medium as recited in claim 17, wherein the peer forecast indicates:

(a) a relative likelihood of one or more values for the attribute occurring during a time period relative to all values for the attribute;

or (b) probability scores for all values of the attribute within the time period.

19. The non-transitory computer-readable medium as recited in claim 17, wherein the instructions that cause registering the heuristic process with the sampling daemon further cause sending a message to the sampling daemon, the message comprising information selected from a group consisting of:

identification of one or more events, indication of one or more thresholds, identification of one or more attributes, and at least one value associated with the one or more attributes.

20. The non-transitory computer-readable medium as recited in claim 19, wherein the instructions further cause invoking the heuristic process in response to one of the following:

the sampling daemon observing occurrence of the one or more events, the sampling daemon observing the one or more thresholds being achieved, or the sampling daemon observing the at least one value for at least one of the one or more attributes.

21. The non-transitory computer-readable medium as recited in claim 17, wherein the instructions further cause terminating the heuristic process after registering the heuristic process with the sampling daemon.

22. The non-transitory computer-readable medium as recited in claim 21, wherein the instructions further cause restarting the heuristic process in response to one of the following:

the sampling daemon observing occurrence of an event, the sampling daemon observing a threshold being achieved, or the sampling daemon observing a value for an attribute, wherein the event, the threshold, and the value for the attribute are provided to the sampling daemon by the heuristic process.

23. The non-transitory computer-readable medium as recited in claim 22, wherein the event data is related to one or more system components selected from a group consisting of:

an application manager, a sensor, a calendar, and a clock.

24. The non-transitory computer-readable medium as recited in claim 21, wherein the instructions further cause restarting the heuristic process in response to the sampling daemon determining that a display of the mobile device is off and the mobile device is not playing audio,

wherein the component settings for the mobile device are set to reduce processor power consumption to reduce an operating temperature of the mobile device.