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QoS-Driven Self-Adaptation for Critical IoT-Based Systems

Arthur Gatouillat 1 Youakim Badr 1 Bertrand Massot 2 
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 INL - Capteurs - INL - Capteurs Biomédicaux
INL - Institut des Nanotechnologies de Lyon
Abstract : The Internet-of-Things, which designates the interconnection of numerous physical devices, is a growing research direction faced with many challenges. One of these challenges is to provide constant quality-of-service despite IoT devices being used in a constantly changing physical environment. In order to answer this problem, we introduce a quality-of-service driven self-adaptation framework, which can simultaneously handle changing adaptation strategies, monitoring infrastructure and physical environment while guaranteeing constant quality-of-service. Because of its formal guarantees, our system is particularly suited for the control of critical IoT-based systems, and we thus demonstrated its practicality by applying it to an e-health case-study where the safety of the monitored patients must be assured.
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Submitted on : Wednesday, February 6, 2019 - 5:15:44 PM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
Long-term archiving on: : Tuesday, May 7, 2019 - 3:13:16 PM


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Arthur Gatouillat, Youakim Badr, Bertrand Massot. QoS-Driven Self-Adaptation for Critical IoT-Based Systems. Workshop on Adaptive Service-oriented and Cloud Applications (ASOCA), Nov 2017, Malaga, Spain. pp.93-105, ⟨10.1007/978-3-319-91764-1_8⟩. ⟨hal-01619297⟩



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