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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2301.11128 (cs)
[Submitted on 26 Jan 2023]

Title:A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core Study

Authors:Samuel Rac, Rajarshi Sanyal, Mats Brorsson
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Abstract: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.
Comments: Published in Springer Nature - Research Book Series: Transactions on Computational Science & Computational Intelligence this https URL (ISSN: 2569-7072)
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2301.11128 [cs.DC]
  (or arXiv:2301.11128v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2301.11128

Submission history

From: Samuel Rac [view email]
[v1] Thu, 26 Jan 2023 14:26:36 UTC (826 KB)
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