Cognitive storage management for a mobile computing device

• US 10,652,308 B2
• Filed: 11/08/2017
• Issued: 05/12/2020
• Est. Priority Date: 11/08/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kalathur, Vijai, Krishnamurthy, Rajaram B., Paquin, Robert J., Siconolfi, Philip A., Vaughan, Moses J.
• Primary Examiner(s): Pollack, Melvin H
• Application Number:
  US15/806,711
• Publication Number:
  US 20190141112A1
• Time in Patent Office: 916 Days
• Field of Search: 709217
• CPC Class Codes: G06N 5/043 Distributed expert systems; Blackboards
• CPC Class Codes: H04L 41/00 Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 43/0811 by checking connectivity
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/14 Session management for real-time applications in data packet communications networks H04L65/1066
• 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 67/5683 Storage of data provided by user terminals, i.e. reverse caching
• 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

Abstract

Embodiments include methods, systems and computer program products method for cognitive storage management for a mobile computing device. The computer-implemented method includes monitoring, using a processor, content generation and usage on a mobile computing device by a user associated with the mobile computing device to determine usage habits of the user. The processor determines a storage capacity for the mobile computing device. The processor predicts future content generation and usage by the user based on the determined usage habits. The processor determines whether future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity. The processor, in response to a determination that future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity, causes at least a portion of content stored on the mobile computing device for storage in a remote storage.

Claims

1. A computer-implemented method for cognitive storage management for a mobile computing device, the method comprising:

monitoring, using a processor, content generation and usage on a mobile computing device by a user associated with the mobile computing device to determine usage habits of the user;

determining, using the processor, a storage capacity for the mobile computing device;

predicting, using the processor, future content generation and usage by the user based on the determined usage habits;

determining, using the processor, whether future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity;

determining whether the mobile computing device will have connectivity during an instance in which future storage capacity issues could exist, based at least in part on an expected location of the mobile computing device at an expected time when the future storage capacity issues could exist; and

in response to a determination that future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity, causing, by the processor, at least a portion of content stored on the mobile computing device to be transmitted for storage in a remote storage.

2. The computer-implemented method of claim 1, wherein receipt of the at least a portion of the stored content in the remote storage occurs while the mobile computing device has connectivity in response to the determination that the mobile computing device will not have connectivity during an instance in which future storage capacity issues could exist.

3. The computer-implemented method of claim 1, wherein the mobile computing device transmits the at least a portion of the stored content to a one or more peer devices in response to the determination that future storage capacity issues could exist and the mobile computing device does not have connectivity.

4. The computer-implemented method of claim 3, wherein the one or more peer devices are used to transmit the at least a portion of the stored content to remote storage.

5. The computer-implemented method of claim 3, wherein the mobile computing device will wait for connectivity to be reestablished in order to transmit the at least a portion of the stored content based at least in part to a determination that the mobile computing device is not authorized to transmit content to the one or more peer devices.

6. The computer-implemented method of claim 1, wherein the predicted future content generation and usage by the user based on the determined usage habits is based on a deep content analysis.

7. A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processing circuit to cause the processing circuit to perform a method comprising:

monitoring content generation and usage on a mobile computing device by a user associated with the mobile computing device to determine usage habits of the user;

determining a storage capacity for the mobile computing device;

predicting future content generation and usage by the user based on the determined usage habits;

determining whether future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity;

determining whether the mobile computing device will have connectivity during an instance in which future storage capacity issues could exist, based at least in part on an expected location of the mobile computing device at an expected time when the future storage capacity issues could exist; and

in response to a determination that future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity, causing at least a portion of content stored on the mobile computing device to be transmitted for storage in a remote storage.

8. The computer program product of claim 7, wherein receipt of the at least a portion of the stored content in the remote storage occurs while the mobile computing device has connectivity in response to the determination that the mobile computing device will not have connectivity during an instance in which future storage capacity issues could exist.

9. The computer program product of claim 7, wherein the mobile computing device transmits the at least a portion of the stored content to a one or more peer devices in response to the determination that future storage capacity issues could exist and the mobile computing device does not have connectivity.

10. The computer program product of claim 9, wherein the one or more peer devices are used to transmit the at least a portion of the stored content to remote storage.

11. The computer program product of claim 9, wherein the mobile computing device will wait for connectivity to be reestablished in order to transmit the at least a portion of the stored content based at least in part to a determination that the mobile computing device is not authorized to transmit content to the one or more peer devices.

12. The computer program product of claim 7, wherein the predicted future content generation and usage by the user based on the determined usage habits is based on a deep content analysis.

13. A computer system, comprising:

a processor in communication with one or more types of memory, the processor configured to;

monitor content generation and usage on a mobile computing device by a user associated with the mobile computing device to determine usage habits of the user;

determine a storage capacity for the mobile computing device;

predict future content generation and usage by the user based on the determined usage habits;

determine whether future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity;

determine whether the mobile computing device will have connectivity during an instance in which future storage capacity issues could exist, based at least in part on an expected location of the mobile computing device at an expected time when the future storage capacity issues could exist; and

in response to a determination that future storage capacity issues could exist based on the predicted future content usage and the determined storage capacity, cause at least a portion of content stored on the mobile computing device to be transmitted for storage in a remote storage.

14. The computer system of claim 13, wherein receipt of the at least a portion of the stored content in the remote storage occurs while the mobile computing device has connectivity in response to the determination that the mobile computing device will not have connectivity during an instance in which future storage capacity issues could exist.

15. The computer system of claim 13, wherein the mobile computing device transmits the at least a portion of the stored content to a one or more peer devices in response to the determination that future storage capacity issues could exist and the mobile computing device does not have connectivity.

16. The computer system of claim 15, wherein the one or more peer devices are used to transmit the at least a portion of the stored content to remote storage.

17. The computer system of claim 15, wherein the mobile computing device will wait for connectivity to be reestablished in order to transmit the at least a portion of the stored content based at least in part to a determination that the mobile computing device is not authorized to transmit content to the one or more peer devices.