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A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G
Achieving less than 1 ms end-to-end communication latency, required for certain 5G services and use cases, is imposing severe technical challenges for the deployment of next-generation networks. To achieve such an ambitious goal, the service infrastructure and User Plane Function (UPF) placement at...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766872/ https://www.ncbi.nlm.nih.gov/pubmed/31540093 http://dx.doi.org/10.3390/s19183975 |
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author | Leyva-Pupo, Irian Santoyo-González, Alejandro Cervelló-Pastor, Cristina |
author_facet | Leyva-Pupo, Irian Santoyo-González, Alejandro Cervelló-Pastor, Cristina |
author_sort | Leyva-Pupo, Irian |
collection | PubMed |
description | Achieving less than 1 ms end-to-end communication latency, required for certain 5G services and use cases, is imposing severe technical challenges for the deployment of next-generation networks. To achieve such an ambitious goal, the service infrastructure and User Plane Function (UPF) placement at the network edge, is mandatory. However, this solution implies a substantial increase in deployment and operational costs. To cost-effectively solve this joint placement problem, this paper introduces a framework to jointly address the placement of edge nodes (ENs) and UPFs. Our framework proposal relies on Integer Linear Programming (ILP) and heuristic solutions. The main objective is to determine the ENs and UPFs’ optimal number and locations to minimize overall costs while satisfying the service requirements. To this aim, several parameters and factors are considered, such as capacity, latency, costs and site restrictions. The proposed solutions are evaluated based on different metrics and the obtained results showcase over [Formula: see text] cost savings for the service infrastructure deployment. Moreover, the gap between the UPF placement heuristic and the optimal solution is equal to only one UPF in the worst cases, and a computation time reduction of over [Formula: see text] is achieved in all the use cases studied. |
format | Online Article Text |
id | pubmed-6766872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67668722019-10-02 A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G Leyva-Pupo, Irian Santoyo-González, Alejandro Cervelló-Pastor, Cristina Sensors (Basel) Article Achieving less than 1 ms end-to-end communication latency, required for certain 5G services and use cases, is imposing severe technical challenges for the deployment of next-generation networks. To achieve such an ambitious goal, the service infrastructure and User Plane Function (UPF) placement at the network edge, is mandatory. However, this solution implies a substantial increase in deployment and operational costs. To cost-effectively solve this joint placement problem, this paper introduces a framework to jointly address the placement of edge nodes (ENs) and UPFs. Our framework proposal relies on Integer Linear Programming (ILP) and heuristic solutions. The main objective is to determine the ENs and UPFs’ optimal number and locations to minimize overall costs while satisfying the service requirements. To this aim, several parameters and factors are considered, such as capacity, latency, costs and site restrictions. The proposed solutions are evaluated based on different metrics and the obtained results showcase over [Formula: see text] cost savings for the service infrastructure deployment. Moreover, the gap between the UPF placement heuristic and the optimal solution is equal to only one UPF in the worst cases, and a computation time reduction of over [Formula: see text] is achieved in all the use cases studied. MDPI 2019-09-14 /pmc/articles/PMC6766872/ /pubmed/31540093 http://dx.doi.org/10.3390/s19183975 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Leyva-Pupo, Irian Santoyo-González, Alejandro Cervelló-Pastor, Cristina A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G |
title | A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G |
title_full | A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G |
title_fullStr | A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G |
title_full_unstemmed | A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G |
title_short | A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G |
title_sort | framework for the joint placement of edge service infrastructure and user plane functions for 5g |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766872/ https://www.ncbi.nlm.nih.gov/pubmed/31540093 http://dx.doi.org/10.3390/s19183975 |
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