Title
Iot Composition Based On Self-Controlled Services
Abstract
The Internet of Things (IoT) includes a large diversity of devices as well as embedded sensors or actuators. The frontier between the physical and digital worlds is becoming more and more blurred. Applications are now being constructed as micro-service compositions integrating more and more functionalities. Services are at the heart of architecture. We propose a service composition entity called self-controlled service component (SCC) for IoT and show, thanks to it, that we control the QoS of a whole IoT application. We control the QoS of each micro-service and the whole composition. We have described our proposals through human-machine interaction which is at the heart of IoT applications. Human-machine interaction will indeed play a more important role in the future IoT. As the number of objects increases, human-machine interaction with the IoT becomes more and more complex and should be controlled, especially in critical domains such as automotive, aerospace, or health. Modelling such controlled interactions is particularly challenging. Human-machine interfaces will have a crucial role to play in the IoT when human decision-making is necessary, especially in critical and urgent situations. The interaction quality of service must be controlled. We have applied our approach through human-machine interaction in the following way: we show how IoT human-machine interaction can be decomposed into elementary self-controlled micro-services and show, thanks to them, that we control the quality of service rendered for the interaction. Furthermore, the self-controlling mechanisms integrated in the SCCs introduce the necessary automation for dynamic reactions. The objective of this new concept is to control the quality of service for the whole of an IoT composite application.
Year
DOI
Venue
2020
10.1007/s12652-020-01831-4
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Keywords
DocType
Volume
Internet of things, Quality of service, Self-control, Service composition
Journal
11
Issue
ISSN
Citations 
11
1868-5137
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Frédéric Lemoine1112.27
Tatiana Aubonnet2273.76
Noemie Simoni3419.25