Orchestrating the Cognitive Internet of Things
Orchestrating the Cognitive Internet of Things
The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT) leads to unprecedented real-time visibility of the power grid, traffic, transportation, water, oil & gas. Interconnecting those distinct physical, people, and business worlds through ubiquitous instrumentation, even though still in its embryonic stage, has the potential to create intelligent IoT solutions that are much greener, more efficient, comfortable, and safer. An essential new direction to materialize this potential is to develop comprehensive models of such systems dynamically interacting with the instrumentation in a feed-back control loop. We describe here opportunities in applying cognitive computing on interconnected and instrumented worlds (CIoT) and call out the system-of-systems trend on interconnecting these distinct but interdependent worlds, and methods for advanced understanding, analysis, and real-time decision support capabilities with the accuracy of full-scale models
Internet of Things, CIoT, Smarter Planet, Behavior Models, Cognitive Computing, World Models, Smart Grid, DDDAS, Infosymbiotic Systems, Autonomy.
Li, Chung-Sheng
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Darema, Frederica
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Kantere, Verena
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Chang, Victor
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Li, Chung-Sheng
d8201cde-ec26-4ae8-b686-e4eee1291bf9
Darema, Frederica
6d89944f-3ff4-4953-bb2b-825527f0b5da
Kantere, Verena
07a8fb6b-6bef-4c2e-bfd0-9fb54cc132b9
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Li, Chung-Sheng, Darema, Frederica, Kantere, Verena and Chang, Victor
(2016)
Orchestrating the Cognitive Internet of Things.
The first international conference on Internet of Things and Big Data, Rome, Italy.
23 - 26 Apr 2016.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT) leads to unprecedented real-time visibility of the power grid, traffic, transportation, water, oil & gas. Interconnecting those distinct physical, people, and business worlds through ubiquitous instrumentation, even though still in its embryonic stage, has the potential to create intelligent IoT solutions that are much greener, more efficient, comfortable, and safer. An essential new direction to materialize this potential is to develop comprehensive models of such systems dynamically interacting with the instrumentation in a feed-back control loop. We describe here opportunities in applying cognitive computing on interconnected and instrumented worlds (CIoT) and call out the system-of-systems trend on interconnecting these distinct but interdependent worlds, and methods for advanced understanding, analysis, and real-time decision support capabilities with the accuracy of full-scale models
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More information
Accepted/In Press date: 1 March 2016
Venue - Dates:
The first international conference on Internet of Things and Big Data, Rome, Italy, 2016-04-23 - 2016-04-26
Keywords:
Internet of Things, CIoT, Smarter Planet, Behavior Models, Cognitive Computing, World Models, Smart Grid, DDDAS, Infosymbiotic Systems, Autonomy.
Organisations:
Electronics & Computer Science, Electronic & Software Systems
Identifiers
Local EPrints ID: 390192
URI: http://eprints.soton.ac.uk/id/eprint/390192
PURE UUID: 36cccbe3-ec4f-41cc-abc1-3fc38b172e41
Catalogue record
Date deposited: 19 Mar 2016 14:34
Last modified: 22 Jul 2022 19:50
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Contributors
Author:
Chung-Sheng Li
Author:
Frederica Darema
Author:
Verena Kantere
Author:
Victor Chang
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