Paper Info
Title
Distributed behavior model orchestration in cognitive internet of things solution.
Abstract
The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT) leads to unprecedented real-time visibility (instrumentation), optimization and fault-tolerance of the power grid, traffic, transportation, water, oil & gas, to give some examples. 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 (Cognitive Internet of Things-CIoT) and call out the system-of-systems trend among distinct but interdependent worlds, and Dynamic Data-Driven Application System (DDDAS)-based methods for advanced understanding, analysis, and real-time decision support capabilities with the accuracy of full-scale models.
Year
DOI
Venue
2018
10.1080/17517575.2017.1355984
ENTERPRISE INFORMATION SYSTEMS
Keywords
Field
DocType
Internet of things,CIoT,smarter planet,behavior models,cognitive computing,world models,smart grid,fog computing,edge computing,progressive representation,DDDAS,dynamic data driven applications systems,infosymbiotic systems,autonomy
Interdependence,Edge computing,Visibility,Systems engineering,Smart grid,Computer science,SAFER,Human–computer interaction,Orchestration (computing),Cognitive computing,Distributed computing,The Internet
Journal
Volume
Issue
ISSN
12.0
SP4
1751-7575
Citations 
PageRank 
References 
7
0.46
50
Authors
3
Name
Order
Citations
PageRank
Chung-sheng Li11372222.33
Frederica Darema271.14
Victor Chang31202107.48