DISCOVERING CAPABILITIES OF ENTITIES IN AN INTERNET OF THINGS SETTING

• US 20170005874A1
• Filed: 07/01/2015
• Published: 01/05/2017
• Est. Priority Date: 07/01/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Banerjee, Nilanjan, Kothari, Ravi, Nanavati, Amit Anil, Singh, Raghavendra
• Granted Patent: US 10,938,910 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services

Abstract

Methods and arrangements for data-driven discovery of collaborative models in an internet of things. At a device in the internet of things setting, data are collected on ambient conditions, and the collected data are stored at the device. At least one other device in the internet of things is communicated with to create and record collaborative states relative to the device and the at least one other device. Other variants and embodiments are broadly contemplated herein.

Claims

1. A method of data-driven discovery of collaborative models in an internet of things, said method comprising:

utilizing at least one processor to execute computer code that performs the steps of;

at a device in the internet of things, collecting data on ambient conditions;

storing the collected data at the device; and

communicating with at least one other device in the internet of things to create and record collaborative states relative to the device and the at least one other device.

2. The method according to claim 1, wherein said creating and recording comprises storing, at the device, the collaborative states relative to the device and the at least one other device.

3. The method according to claim 2, wherein said storing comprises storing in a catalog.

4. The method according to claim 2, wherein said storing comprises storing in on-board memory at the device.

5. The method according to claim 1, wherein said creating and recording comprises contributing to a collaborative model.

6. The method according to claim 1, wherein said creating and recording comprises obtaining and adapting observations corresponding to the discovery of joint capabilities.

7. The method according to claim 6, wherein:

said obtaining and adapting comprises determining at least one relevant task; and

said recording comprises recording at least one relevant subset corresponding to the determined at least one relevant task.

8. The method of claim 6, wherein said obtaining and adapting of observations is performed passively.

9. The method according to claim 8, wherein said obtaining and adapting is performed via free text analysis.

10. The method according to claim 9, wherein the free text analysis is bootstrapped with a dictionary of keywords relevant to the internet of things.

11. The method according to claim 1, wherein said creating and recording is performed passively.

12. The method according to claim 1, wherein:

said creating and recording comprises developing a model; and

said method comprises cross-validating the model with data developed at another device.

13. An apparatus for data-driven discovery of collaborative models in an internet of things, said apparatus comprising:

at least one processor; and

a computer readable storage medium having computer readable program code embodied therewith and executable by the at least one processor, the computer readable program code comprising;

computer readable program code configured, at a device in the internet of things, to collect data on ambient conditions;

computer readable program code configured to store the collected data at the device; and

computer readable program code configured to communicate with at least one other device in the internet of things to create and record collaborative states relative to the device and the at least one other device.

14. A computer program product for data-driven discovery of collaborative models in an internet of things, said computer program product comprising:

a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code configured, at a device in the internet of things, to collect data on ambient conditions;

computer readable program code configured to store the collected data at the device; and

computer readable program code configured to communicate with at least one other device in the internet of things to create and record collaborative states relative to the device and the at least one other device.

15. The computer program product according to claim 14, wherein the creating and recording comprises storing, at the device, the collaborative states relative to the device and the at least one other device.

16. The computer program product according to claim 15, wherein the storing comprises storing in a catalog.

17. The computer program product according to claim 14, wherein the storing comprises contributing to a collaborative model.

18. The computer program product according to claim 14, wherein the creating and recording comprises obtaining and adapting observations corresponding to the discovery of joint capabilities.

19. The computer program product according to claim 18, wherein the obtaining and adapting of observations is performed passively.

20. A method comprising:

at a device in the internet of things, collecting data on ambient conditions;

storing the collected data at the device; and

communicating with at least one other device in the internet of things to create and record collaborative states relative to the device and the at least one other device;

said creating and recording comprising;

obtaining and adapting observations corresponding to the discovery of joint capabilities;

wherein said creating and recording is performed passively; and

developing a model; and

cross-validating the model with data developed at another device.