Reference : A Cloud-Edge Continuum Experimental Methodology applied to a 5G Core Study
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/54207
A Cloud-Edge Continuum Experimental Methodology applied to a 5G Core Study
English
Rac, Samuel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN >]
Sanyal, Rajarshi mailto [Proximus Luxembourg SA]
Brorsson, Mats Hakan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN >]
2022
Transactions on Computational Science and Computational Intelligence
Springer Nature
Yes
International
[en] edge computing ; experimental methodology ; 5G
[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.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SEDAN - Service and Data Management in Distributed Systems
Fonds National de la Recherche - FnR ; Proximus Luxembourg SA
ACE5G
Researchers ; Professionals
http://hdl.handle.net/10993/54207
https://arxiv.org/abs/2301.11128
FnR ; FNR16327771 > Mats Brorsson > ACE5G > Accelerated Cloud Edge In 5g > 01/02/2022 > 31/01/2025 > 2021

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