Reference Architecture to Exploit Data as a Product Through the Cloud-Edge Continuum

Nima Rahmani Choubeh (), Walter Quadrini (), Danish Abbas Syed (), Riccardo Zanetti (), Angelo Marguglio () and Luca Fumagalli ()
Additional contact information
Nima Rahmani Choubeh: Politecnico di Milano
Walter Quadrini: Politecnico di Milano
Danish Abbas Syed: Politecnico di Milano
Riccardo Zanetti: Engineering Ingegneria Informatica SpA
Angelo Marguglio: Engineering Ingegneria Informatica SpA
Luca Fumagalli: Politecnico di Milano

A chapter in Artificial Intelligence and Digital Transformation, 2025, pp 193-206 from Springer

Abstract: Abstract The Internet of Things (IoT) computational power and storage requirements are constantly increasing, implying a subsequent rise in the amount of data created by devices at the edge of the network. While cloud computing has been a well-established method of purchasing services for many applications, it may not be enough to handle the amount of data from IoT devices while simultaneously addressing the heterogeneous application needs. The Cloud-Edge-IoT (CEI) continuum, where sensor networks and data coexist with cloud and edge resources, appears then to be a suitable solution to address future data-intensive applications. CEI continuum employs edge computing, cloud computing, and the IoT to boost the Industrial IoT (IIoT) development. However, the distributed nature requirements of digital manufacturing present difficulties for typical cloud-centric techniques: to address some of these issues, an analysis of current Reference Architectures (RAs) has been performed. Consequently, the opportunity for a new RA has been discussed, leading to include capabilities supposed to mitigate some CEI continuum issues, among which the concept of “Data as a Product”, supported by specific Data Container. In addition, it has been noticed how Federated Learning services can improve privacy and security issues, as well as computing effort of the CEI.

Keywords: Cloud-edge-IoT; Reference architecture; Interoperability (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-00118-4_11

Ordering information: This item can be ordered from
http://www.springer.com/9783032001184

DOI: 10.1007/978-3-032-00118-4_11

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().