Osmotic Computing Platform for Smart City Applications in the Cloud-Edge Continuum
9th Italian Conference on ICT for Smart Cities And Communities (I-CiTies 2023) - SEP-2023
, Loseto Giuseppe
, Loconte Davide
, Fasciano Corrado
, Gramegna Filippo
, Ieva Saverio
, Pinto Agnese
, Ruta Michele
Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Things devices. Edge Intelligence is increasingly adopted to execute inference on data at the border of local networks, exploiting models trained in the Cloud. However, the training tasks on Edge nodes are not supported yet with flexible dynamic migration between Edge and Cloud. This paper proposes a Cloud-Edge AI microservice architecture, based on Osmotic Computing principles. Notable features include: (i) containerized architecture enabling training and inference on the Edge, Cloud, or both, exploiting computational resources opportunistically to reach the best prediction accuracy; and (ii) microservice encapsulation of each architectural module, allowing a direct mapping with Commercial-Off-The-Shelf (COTS) components. Grounding on the proposed architecture: (i) a prototype has been realized with commodity hardware leveraging open-source software technologies; and (ii) it has been then used in a small-scale intelligent manufacturing case study, carrying out experiments. The obtained results validate the feasibility and key benefits of the approach.
author = "Scioscia, Floriano and Loseto, Giuseppe and Loconte, Davide and Fasciano, Corrado and Gramegna, Filippo and Ieva, Saverio and Pinto, Agnese and Ruta, Michele",
title = "Osmotic Computing Platform for Smart City Applications in the Cloud-Edge Continuum",
booktitle = "9th Italian Conference on ICT for Smart Cities And Communities (I-CiTies 2023)",
month = "sep",
year = "2023",
url = "http://sisinflab.poliba.it/Publications/2023/SLLFGIPR23"