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A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools

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Autor(es):
Andrade, Maiko ; Wickboldt, Juliano
Número total de Autores: 2
Tipo de documento: Artigo Científico
Fonte: Journal of Network and Systems Management; v. 33, n. 4, p. 42-pg., 2025-07-09.
Resumo

5G networks support various advanced applications through network slicing, network function virtualization (NFV), and edge computing, ensuring low latency and service isolation. However, private 5G networks relying on open-source tools still face challenges in maturity and integration with edge/cloud platforms, compromising proper slice isolation. This study investigates resource allocation mechanisms to address this issue, conducting experiments in a hospital scenario with medical video conferencing. The results show that CPU limitations improve the performance of prioritized slices, while memory restrictions have minimal impact. The generated data and scripts have been made publicly available for future research and machine learning applications. (AU)

Processo FAPESP: 20/05182-3 - PORVIR-5G: programabilidade, orquestração e virtualização em redes 5G
Beneficiário:José Marcos Silva Nogueira
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 18/23097-3 - SFI2: fatiamento de infraestruturas de internet do futuro
Beneficiário:Tereza Cristina Melo de Brito Carvalho
Modalidade de apoio: Auxílio à Pesquisa - Temático