A Reference Architecture for Cloud–Edge Meta-Operating Systems Enabling Cross-Domain, Data-Intensive, ML-Assisted Applications: Architectural Overview and Key Concepts

Future data-intensive intelligent applications are required to traverse across the cloud-to-edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside sensor networks and data. However, current technical solutions can only partially handle the data outburst associated with...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 22; číslo 22; s. 9003
Hlavní autoři: Trakadas, Panagiotis, Masip-Bruin, Xavi, Facca, Federico M., Spantideas, Sotirios T., Giannopoulos, Anastasios E., Kapsalis, Nikolaos C., Martins, Rui, Bosani, Enrica, Ramon, Joan, Prats, Raül González, Ntroulias, George, Lyridis, Dimitrios V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 21.11.2022
MDPI
Témata:
Architecture
Carbon footprint
Collaboration
Communication
decentralized intelligence
Ecosystem
edge computing
federated learning
Forecasts and trends
Intelligence
Internet access
Internet of Things
IoT–edge–cloud continuum
meta-operating system
Net neutrality
Operating systems
reference architecture
Software
Technology application
Greece
Germany
Spain
reference architecture
edge computing
IoT–edge–cloud continuum
meta-operating system
swarm learning
decentralized intelligence
federated learning
ISSN:1424-8220, 1424-8220
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Shrnutí:Future data-intensive intelligent applications are required to traverse across the cloud-to-edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside sensor networks and data. However, current technical solutions can only partially handle the data outburst associated with the IoT proliferation experienced in recent years, mainly due to their hierarchical architectures. In this context, this paper presents a reference architecture of a meta-operating system (RAMOS), targeted to enable a dynamic, distributed and trusted continuum which will be capable of facilitating the next-generation smart applications at the edge. RAMOS is domain-agnostic, capable of supporting heterogeneous devices in various network environments. Furthermore, the proposed architecture possesses the ability to place the data at the origin in a secure and trusted manner. Based on a layered structure, the building blocks of RAMOS are thoroughly described, and the interconnection and coordination between them is fully presented. Furthermore, illustration of how the proposed reference architecture and its characteristics could fit in potential key industrial and societal applications, which in the future will require more power at the edge, is provided in five practical scenarios, focusing on the distributed intelligence and privacy preservation principles promoted by RAMOS, as well as the concept of environmental footprint minimization. Finally, the business potential of an open edge ecosystem and the societal impacts of climate net neutrality are also illustrated.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22229003