SOCIAL-GEOFENCED-BASED APPLICATION MANAGEMENT FOR BATTERY MAXIMIZATION

• US 20190324519A1
• Filed: 04/19/2018
• Published: 10/24/2019
• Est. Priority Date: 04/19/2018
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bastide, Paul R., Jayantilal, Tushar Kumar, Lu, Fang, Rajendrababu, Ishwarya
• Granted Patent: US 10,671,142 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06F 1/1698 the I/O peripheral being a sending/receiving arrangement to establish a cordless communication link, e.g. radio or infrared link, integrated cellular phone details of antennas disposed inside a computer H01Q1/2266
• CPC Class Codes: G06F 1/3215 Monitoring of peripheral devices
• CPC Class Codes: G06F 1/3228 Monitoring task completion, e.g. by use of idle timers, stop commands or wait commands
• CPC Class Codes: G06F 1/3287 by switching off individual functional units in the computer system
• 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 9/44505 Configuring for program initiating, e.g. using registry, configuration files
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/303 Terminal profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A method, system and computer program product for providing social-geofenced-based application management for battery maximization. Social traffic information is collected for a defined cohort of persons within one or more predefined geofences, wherein the defined cohort of persons is based on one or more individual or group attributes, and the social traffic information includes battery usage for devices used by the defined cohort of persons. The social traffic information is analyzed to classify conditions derived therefrom into one or more categories. Application performance is controlled on a user'"'"'s device, based on the conditions classified into the categories, to optimize battery usage of the user'"'"'s device.

Claims

1. A computer-implemented method, comprising:

providing social-geofenced-based application management for battery maximization, by;

collecting social traffic information of a defined cohort of persons within one or more predefined geofences;

analyzing the social traffic information to classify conditions derived therefrom into one or more categories; and

controlling application performance on a user'"'"'s device based on the conditions classified into the categories, wherein the application performance is controlled to optimize battery usage of the user'"'"'s device.

2. The method of claim 1, wherein the defined cohort of persons is based on one or more individual or group attributes.

3. The method of claim 1, wherein the social traffic information comprises battery usage of devices for the defined cohort of persons.

4. The method of claim 1, wherein the analyzing further comprises identifying any changes to the user'"'"'s routine based on the social traffic information, and determining how best to optimize the battery usage of the user'"'"'s device resulting from the changes.

5. The method of claim 1, wherein the analyzing further comprises analyzing the social traffic information to identify events in a vicinity of the predefined geofences.

6. The method of claim 5, wherein the events comprise work-related events, social events with co-workers, social events with family members, public events, or other types of social events.

7. The method of claim 1, wherein the application performance is controlled to prevent transmitting data to or from the user'"'"'s device.

8. The method of claim 1, wherein the application performance is controlled to execute or not execute specified applications on the user'"'"'s device.

9. The method of claim 1, wherein the application performance is controlled by sending one or more rules to the user'"'"'s device for execution by a rule engine on the user'"'"'s device.

10. The method of claim 1, further comprising sending messages to notify the user'"'"'s device of rule updates or charging reminders.

11. A computer-implemented system, comprising:

one or more computers programmed for providing social-geofenced-based application management for battery maximization, by;

collecting social traffic information of a defined cohort of persons within one or more predefined geofences;

analyzing the social traffic information to classify conditions derived therefrom into one or more categories; and

controlling application performance on a user'"'"'s device based on the conditions classified into the categories, wherein the application performance is controlled to optimize battery usage of the user'"'"'s device.

12. The system of claim 11, wherein the defined cohort of persons is based on one or more individual or group attributes.

13. The system of claim 11, wherein the social traffic information comprises battery usage of devices for the defined cohort of persons.

14. The system of claim 11, wherein the analyzing further comprises identifying any changes to the user'"'"'s routine based on the social traffic information, and determining how best to optimize the battery usage of the user'"'"'s device resulting from the changes.

15. The system of claim 11, wherein the analyzing further comprises analyzing the social traffic information to identify events in a vicinity of the predefined geofences, wherein the events comprise work-related events, social events with co-workers, social events with family members, public events, or other types of social events.

16. The system of claim 11, wherein the application performance is controlled to prevent transmitting data to or from the user'"'"'s device.

17. The system of claim 11, wherein the application performance is controlled to execute or not execute specified applications on the user'"'"'s device.

18. The system of claim 11, wherein the application performance is controlled by sending one or more rules to the user'"'"'s device for execution by a rule engine on the user'"'"'s device.

19. The system of claim 11, further comprising sending messages to notify the user'"'"'s device of rule updates or charging reminders.

20. A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by one or more computers to cause the computers to perform a method, comprising:

providing social-geofenced-based application management for battery maximization, by;

collecting social traffic information of a defined cohort of persons within one or more predefined geofences;

analyzing the social traffic information to classify conditions derived therefrom into one or more categories; and

controlling application performance on a user'"'"'s device based on the conditions classified into the categories, wherein the application performance is controlled to optimize battery usage of the user'"'"'s device.