A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and key concepts

Citation:

Trakadas P, Masip-Bruin X, Facca FM, Spantideas ST, Giannopoulos AE, Kapsalis NC, Martins R, Bosani E, Ramon J, Prats RG, et al. A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and key concepts. Sensors. 2022;22:9003.

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National and Kapodistrian University of Athens

Tel: (+30) 222 802 1864
Addr: Psachna, Chalkida, 344 00
Email: ptrakadas@pms.uoa.gr, ptrakadas@uoa.gr
Department: www.pms.uoa.gr

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PDPPnet:Prioritized Delay-aware and Peer-to-Peer Task Offloading in Cloud-Edge Continuum with DDDQN
AI/ML-Assisted Threat Detection andMitigation in 6G Networks with Digital Twins: The HORSE Approach
Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme

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Panagiotis Trakadas

Associate Professor, Ports Management

A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and key concepts

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