Article (Périodiques scientifiques)
A Cloud-Edge Continuum Experimental Methodology applied to a 5G Core Study
RAC, Samuel; Sanyal, Rajarshi; BRORSSON, Mats Hakan
2022In Transactions on Computational Science and Computational Intelligence
Peer reviewed
 

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Mots-clés :
edge computing; experimental methodology; 5G
Résumé :
[en] There is an increasing interest in extending traditional cloud-native technologies, such as Kubernetes, outside the data center to build a continuum towards the edge and between. However, traditional resource orchestration algorithms do not work well in this case, and it is also difficult to test applications for a heterogeneous cloud infrastructure without actually building it. To address these challenges, we propose a new methodology to aid in deploying, testing, and analyzing the effects of microservice placement and scheduling in a heterogeneous Cloud environment. With this methodology, we can investigate any combination of deployment scenarios and monitor metrics in accordance with the placement of microservices in the cloud-edge continuum. Edge devices may be simulated, but as we use Kubernetes, any device which can be attached to a Kubernetes cluster could be used. In order to demonstrate our methodology, we have applied it to the problem of network function placement of an open-source 5G core implementation.
Centre de recherche :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SEDAN - Service and Data Management in Distributed Systems
Disciplines :
Sciences informatiques
Auteur, co-auteur :
RAC, Samuel  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
Sanyal, Rajarshi;  Proximus Luxembourg SA
BRORSSON, Mats Hakan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
A Cloud-Edge Continuum Experimental Methodology applied to a 5G Core Study
Date de publication/diffusion :
2022
Titre du périodique :
Transactions on Computational Science and Computational Intelligence
Maison d'édition :
Springer Cham
Peer reviewed :
Peer reviewed
URL complémentaire :
Projet FnR :
FNR16327771 - Accelerated Cloud Edge In 5g, 2021 (01/02/2022-31/01/2025) - Mats Brorsson
Intitulé du projet de recherche :
ACE5G
Organisme subsidiant :
Fonds National de la Recherche - FnR ; Proximus Luxembourg SA
Disponible sur ORBilu :
depuis le 27 janvier 2023

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