Cloud Model of Application of SDN Data to Information Management of College Students' Archives

Xiao-xu, Wei; Song, Yiwen

doi:10.1109/icerect56837.2022.10059987

Cited by 1 publication

(1 citation statement)

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“…The framework is designed to support the research in many use cases and industry verticals, considering AI as the key technology to further expand the capabilities of this kind of networks. Work in [9] discussed the importance of the combination of 5G and AI to build smart-campuses. Besides, it proposed the creation of a "cloudnetwork-edge-service" architecture to provide a better service to students, professors and researchers.…”

Section: Introductionmentioning

confidence: 99%

Virtual On-Board Unit Migration in a Multi-Access Smart-Campus 5G Architecture

Gallego-Madrid,

Hermosilla,

Bernal-Escobedo

et al. 2023

2023 IEEE Future Networks World Forum (FNWF)

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By embracing the next generation of network architectures, academic institutions are setting the scene to expand the research capabilities, enhance the learning experience of the students, and showcase how smart-city-like solutions can transform traditional educational environments into innovative platforms with state-of-the-art solutions. In this work, we present the University of Murcia's GAIA 5G multi-access smart-campus architecture as an enabler for research and experimentation in novel use cases related to Connected and Automated Mobility (CAM) scenarios. In this way, we demonstrate how a vehicular service that provides digital twins for on-board units with migration capabilities between virtualization domains has been integrated in an operational 5G environment. The experimental tests demonstrates the validity of the solution, which can be seamlessly deployed and operated in a real 5G network.

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Section: Introductionmentioning

confidence: 99%