Smart City Gnosys

Smart city article details

Title	Towards A Distributed Data Mesh Model For The Iot-Edge-Cloud Continuum In Smart Cities
ID_Doc	57825
Authors	Rossini E.; Bicocchi N.; Hadjidimitriou N.S.; Pietri M.; Picone M.; Mamei M.
Year	2024
Published	Proceedings - 2024 IEEE/ACM Symposium on Edge Computing, SEC 2024
DOI	http://dx.doi.org/10.1109/SEC62691.2024.00041
Abstract	This paper makes a compelling case for the adoption of the recently proposed Data Mesh architecture within IoT-Edge-Cloud Continuum scenarios, particularly in the context of Intelligent Transportation Systems and Data-driven Mobility Services. Unlike centralized cloud-based approaches, based on data warehouses/lakes connected with ETL (Extract, Transform, and Load) pipelines, Data Mesh promotes a decentralized data ownership model which brings several advantages in addressing open challenges in IoT-Edge-Cloud Continuum scenarios. First, we present an overview of the Data Mesh concepts, and how they advance the state of the art in data management architectures. Secondly, we discuss how their adoption might ease the development of IoT-Edge-Cloud applications in terms of: (i) hiding the heterogeneity of the IoT Layer, (ii) mitigating latency by enabling full domain migrations, and (iii) promoting the adoption of AI techniques, such as MLOps and Federated Learning at the edge of the net-work. Finally, we provide practical guidelines for implementing such an architecture to enhance the safety of pedestrians and vulnerable users, based on our experience with the Modena Automotive Smart Area. © 2024 IEEE.
Author Keywords	Distributed computing; Edge computing; Pipeline processing

Similar Articles

Id	Similarity	Authors	Title	Published
60648	0.893	Belcastro L.; Marozzo F.; Orsino A.; Talia D.; Trunfio P.	Using The Compute Continuum For Data Analysis: Edge-Cloud Integration For Urban Mobility	Proceedings - 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023 (2023)
58104	0.883	Dustdar S.; Murturi I.	Towards Distributed Edge-Based Systems	Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020 (2020)
21828	0.872	Belcastro L.; Marozzo F.; Orsino A.; Talia D.; Trunfio P.	Edge-Cloud Continuum Solutions For Urban Mobility Prediction And Planning	IEEE Access, 11 (2023)
55982	0.869	Hasan M.M.; Sultana T.; Hossain M.D.; Mandal A.K.; Ngo T.-T.; Lee G.-W.; Huh E.-N.	The Journey To Cloud As A Continuum: Opportunities, Challenges, And Research Directions	ICT Express (2025)
32658	0.869	Rathore R.; Kaushik P.; Sikarwar S.S.; Joshi H.; Mishra A.K.; Hudda Y.	Intelligent Transportation Systems Make Use Of Fog And Edge Computing For Navigation	2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024 (2024)
21815	0.865	Murthy V.S.N.; Kumari R.; Goyal M.; Dubey P.; Meenakshi; Manikandan S.; Ramesh P.	Edge-Ai In Iot: Leveraging Cloud Computing And Big Data For Intelligent Decision-Making	Journal of Information Systems Engineering and Management, 10 (2025)
8899	0.865	Carlini E.; Carnevale L.; Coppola M.; Dazzi P.; Mencagli G.; Talia D.; Villari M.	An Osmotic Ecosystem For Data Streaming Applications In Smart Cities	FRAME 2021 - Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge (2021)
25486	0.865	Barra S.; D'Alessandro F.; Sosovskyy O.	Exploring Architectural Choices And Emerging Challenges In Data Management For Iot: A Focus On Digital Innovation And Smart Cities	UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (2024)
21769	0.865	Nayyer Z.; Raza I.; Hussain S.A.	Edge Computing-Based Architectures For Big Data-Enabled Iot	Big Data-Enabled Internet of Things (2020)
33848	0.859	Zhang Y.; Lyu F.; Yang P.; Wu W.; Gao J.	Iot Intelligence Empowered By End-Edge-Cloud Orchestration	China Communications, 19, 7 (2022)