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.
@article{arxiv.2301.11128,
title = {A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core Study},
author = {Samuel Rac and Rajarshi Sanyal and Mats Brorsson},
journal= {arXiv preprint arXiv:2301.11128},
year = {2023}
}
Comments
Published in Springer Nature - Research Book Series: Transactions on Computational Science & Computational Intelligence https://www.springer.com/series/11769 (ISSN: 2569-7072)