IoT composition based on self-controlled services - Archive ouverte HAL
Article Dans Une Revue Journal of Ambient Intelligence and Humanized Computing Année : 2020

IoT composition based on self-controlled services

Tatiana Aubonnet
Noëmie Simoni
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Résumé

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.
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Dates et versions

hal-02499357 , version 1 (12-03-2021)

Identifiants

Citer

Frédéric Lemoine, Tatiana Aubonnet, Noëmie Simoni. IoT composition based on self-controlled services. Journal of Ambient Intelligence and Humanized Computing, 2020, 11, pp.5167 - 5186. ⟨10.1007/s12652-020-01831-4⟩. ⟨hal-02499357⟩
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