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
On-line přístup:	Získat plný text
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