DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2020-08-12 - Article/Dans un journal avec peer-review - Anglais - 5 page(s)

Debauche Olivier , Mahmoudi Said , Mahmoudi Sidi , Manneback Pierre , Lebeau Frédéric, "Edge AI-IoT (AIoT) Architecture" in Procedia Computer Science, 175, 10-19

  • Edition : Elsevier, Amsterdam (Netherlands)
  • Codes CREF : Sciences agronomiques (DI3600), Informatique générale (DI1162)
  • Unités de recherche UMONS : Informatique, Logiciel et Intelligence artificielle (F114)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech), Institut NUMEDIART pour les Technologies des Arts Numériques (Numédiart)
Texte intégral :

Abstract(s) :

(Anglais) Artificial intelligence (AI) and Internet of things (IoT) have progressively emerged in all domains of our daily lives. Nowadays, both domains are combined in what is called artificial intelligence of thing (AIoT). With the increase of the amount of data produced by the myriad of connected things and the large wide of data needed to train Artificial Intelligence models, data processing and storage became a real challenge. Indeed, the amount of data to process, to transfer by network and to treat in the cloud have call into question classical data storage and processing architectures. Also, the large amount of data generated at the edge has increased the speed of data transportation that is becoming the bottleneck for the cloud-based computing paradigms. The post-cloud approaches using Edge computing allow to improve latency and jitter. These infrastructures manage mechanisms of containerization and orchestration in order to provide automatic and fast deployment and migration of services such as reasoning mechanisms, ontology, and specifically adapted artificial intelligence algorithms. In this paper we propose a new architecture used to deploy at edge level micro services and adapted artificial intelligence algorithms and models.

Identifiants :
  • DOI : 10.1016/j.procs.2020.07.006

Mots-clés :
  • (Anglais) Internet of Things
  • (Anglais) Edge Internet of Things
  • (Anglais) Edge AI-IoT architecture
  • (Anglais) Edge Artificial Intelligence
  • (Anglais) Edge computing
  • (Anglais) Artificial Intelligence