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A Feedback-Based Adaptive Service-Oriented Paradigm for the Internet of Things
Authors
A Bucchiarone
D Guinard
+13 more
F Paganelli
H Chen
J Camara
J Cubo
J Cámara
J Gubbi
J Mineraud
K Wan
M Caporuscio
NT Dinh
R Seiger
U Klein
Y Brun
Publication date
16 June 2018
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
© Springer International Publishing AG, part of Springer Nature 2018. With integrating physical devices into digital world, Internet of Things (IoT) have presented tremendous potential in various different application domains such as smart cities, intelligent transportation, smart home, healthcare and industrial automation. However, current IoT solutions and usage scenarios are still very limited because of the difficulty in sensing the context in continuously changing environments and adaptation to the changes accordingly. The complex dynamic interactions between system components and physical environments are a bit challenging especially when there are other concerns such as scalability and heterogeneity. To solve this problem, a novel adaptive service-oriented paradigm is proposed to support IoT from a low-level viewpoint. The paradigm can overcome some disadvantages of REST (Representational State Transfer) architecture style in the IoT. Two classical examples are illustrated using the proposed paradigm by adding an extra constraint based on REST to improve system states verification and enhance the functionality in modelling physical processes
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University of Liverpool Repository
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Last time updated on 23/07/2018
Crossref
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info:doi/10.1007%2F978-3-319-9...
Last time updated on 10/08/2021