Device context monitoring

• US 9,942,355 B2
• Filed: 05/12/2016
• Issued: 04/10/2018
• Est. Priority Date: 06/05/2015
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Siracusa, Michael R., de Lacerda, Joao Pedro Forjaz, Wan, Kit-Man, Kapoor, Gaurav, Vaishampayan, Umesh S.
• Primary Examiner(s): Zhen, Wei
• Assistant Examiner(s): UNG, LANNY N
• Application Number:
  US15/152,776
• Publication Number:
  US 20160357539A1
• Time in Patent Office: 698 Days
• Field of Search: 717120
• CPC Class Codes: G06F 11/30 Monitoring
• CPC Class Codes: G06F 11/3024 where the computing system component is a central processing unit [CPU]
• CPC Class Codes: G06F 11/3055 Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available error or fault processing without redundancy G06F11/0703; error detection or correction by redundancy in data representation G06F11/08; error detection or correction by redundancy in operation G06F11/14; error detection or correction by redundancy in hardware G06F11/16
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06F 9/445 Program loading or initiating bootstrapping G06F9/4401; security arrangements for program loading or initiating G06F21/57
• CPC Class Codes: G06F 9/461 Saving or restoring of program or task context
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: G06F 9/546 Message passing systems or structures, e.g. queues
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: H04L 67/14 Session management for real-time applications in data packet communications networks H04L65/1066
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 52/0264 by selectively disabling software applications
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

Disclosed are systems, methods, and non-transitory computer-readable storage media for monitoring the current context of a computing device. In some implementations, a context daemon can collect context information about the computing device. The context information can include current device hardware state information. The context information can include current software state information. The context can be derived or implied from a combination of hardware state information, software state information, or any other type of state information. For example, the derived context can be a user state (e.g., a user activity, sleeping, running, etc.) derived from or implied by hardware or software state information.

Claims

1. A method comprising:

receiving, by a context daemon process executing on a computing device, values corresponding to one or more context items monitored by one or more context monitors;

receiving, by the context daemon process from a context client process, a context information request corresponding to a first context item;

determining, by the context daemon process, that the first context item is not currently monitored by the context monitors; and

initializing, by the context daemon process, a new context monitor corresponding to the first context item;

receiving, by the context daemon process, new values corresponding to the first context item monitored by the new context monitor;

generating, by the context daemon process, a historical event stream corresponding to the first context item based on the new values;

determining, by the context daemon process, a short-term probability of a particular value of the first context item based on the historical event stream;

determining, by the context daemon process, a long-term probability of the particular value of the first context item based on the historical event stream; and

predicting, by the context daemon process, a future occurrence of the particular value of the first context item based on the short-term probability and the long-term probability.

2. The method of claim 1, wherein initializing the new context monitor comprises dynamically loading a new software package corresponding to the new context monitor into the context daemon process.

3. The method of claim 1, wherein initializing the new context monitor comprises invoking a new context monitor process separate from the context daemon, the new context monitor process corresponding to the new context monitor.

4. The method of claim 1, wherein the one or more context item values describe a current state of one or more hardware components of the computing device.

5. The method of claim 1, wherein the one or more context item values describe a current state of one or more software components of the computing device.

6. The method of claim 1, wherein the new context monitor process generates historical event stream objects that identify a start time, a duration, and a context item value that describes an event in the historical event stream.

7. A computing device for monitoring event context comprising:

one or more processors; and

a non-transitory computer readable medium that includes one or more sequences of instructions that, when executed by the one or more processors, cause the processors to perform operations comprising;

receiving values corresponding to one or more context items monitored by one or more context monitors;

receiving from a context client process, a context information request corresponding to a first context item;

determining that the first context item is not currently monitored by the context monitors; and

initializing a new context monitor corresponding to the first context item;

receiving new values corresponding to the first context item monitored by the new context monitor;

generating a historical event stream corresponding to the first context item based on the new values;

determining a short-term probability of a particular value of the first context item based on the historical event stream;

determining a long-term probability of a particular value of the first context item based on the historical event stream;

predicting a future occurrence of the particular value of the first context based on the short-term probability and the long-term probability.

8. The computing device of claim 7, wherein initialization further causes the context daemon process to:

dynamically load a new software package corresponding to the new context monitor into the context daemon process.

9. The computing device of claim 7, wherein initialization further causes the context daemon process to:

invoke a new context monitor process separate from the context daemon, the new context monitor process corresponding to the new context monitor.

10. The computing device of claim 7, wherein the one or more context item values describe a current state of one or more hardware components of the computing device.

11. The computing device of claim 7, wherein the one or more context item values describe a current state of one or more software components of the computing device.

12. The computing device of claim 7, wherein the new context monitor process generates historical event stream objects that identify a start time, a duration, and a context item value that describes an event in the historical event stream.

13. A non-transitory computer-readable medium containing instructions that, when executed by a computing device, cause a context daemon process of the computing device to:

receive values corresponding to one or more context items monitored by one or more context monitors;

receive from a context client process, a context information request corresponding to a first context item;

determine that the first context item is not currently monitored by the context monitors; and

initialize a new context monitor corresponding to the first context item;

receive new values corresponding to the first context item monitored by the new context monitor;

generate a historical event stream corresponding to the first context item based on the new values;

determine a short-term probability of a particular value of the first context item based on the historical event stream

determine a long-term probability of the particular value of the first context item based on the historical event stream;

predict a future occurrence of the particular value of the first context based on the short-term probability and the long-term probability.

14. The non-transitory computer-readable medium of claim 13, wherein the initialization further causes the context daemon to:

dynamically load a new software package corresponding to the new context monitor into the context daemon process.

15. The non-transitory computer-readable medium of claim 13, wherein the initialization further causes the context daemon process to:

invoke a new context monitor process separate from the context daemon, the new context monitor process corresponding to the new context monitor.

16. The non-transitory computer-readable medium of claim 13, wherein the one or more context item values describe a current state of one or more hardware components of the computing device.

17. The non-transitory computer-readable medium of claim 13, wherein the one or more context item values describe a current state of one or more software components of the computing device.