Cargando…

Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context

By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing the overall latency. Fostering the synergy between...

Descripción completa

Detalles Bibliográficos
Autores principales: Slamnik-Kriještorac, Nina, de Britto e Silva, Erik, Municio, Esteban, Carvalho de Resende, Henrique C., Hadiwardoyo, Seilendria A., Marquez-Barja, Johann M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412274/
https://www.ncbi.nlm.nih.gov/pubmed/32664251
http://dx.doi.org/10.3390/s20143852
_version_ 1783568569930350592
author Slamnik-Kriještorac, Nina
de Britto e Silva, Erik
Municio, Esteban
Carvalho de Resende, Henrique C.
Hadiwardoyo, Seilendria A.
Marquez-Barja, Johann M.
author_facet Slamnik-Kriještorac, Nina
de Britto e Silva, Erik
Municio, Esteban
Carvalho de Resende, Henrique C.
Hadiwardoyo, Seilendria A.
Marquez-Barja, Johann M.
author_sort Slamnik-Kriještorac, Nina
collection PubMed
description By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing the overall latency. Fostering the synergy between 5G and MEC brings ultra-reliable low-latency in data transmission, and paves the way towards numerous latency-sensitive automotive use cases, with the ultimate goal of enabling autonomous driving. Despite the benefits of significant latency reduction, bringing MEC platforms into 5G-based vehicular networks imposes severe challenges towards poorly scalable network management, as MEC platforms usually represent a highly heterogeneous environment. Therefore, there is a strong need to perform network management and orchestration in an automated way, which, being supported by Software Defined Networking (SDN) and Network Function Virtualization (NFV), will further decrease the latency. With recent advances in SDN, along with NFV, which aim to facilitate management automation for tackling delay issues in vehicular communications, we study the closed-loop life-cycle management of network services, and map such cycle to the Management and Orchestration (MANO) systems, such as ETSI NFV MANO. In this paper, we provide a comprehensive overview of existing MANO solutions, studying their most important features to enable network service and resource orchestration in MEC-enhanced vehicular networks. Finally, using a real testbed setup, we conduct and present an extensive performance analysis of Open Baton and Open Source MANO that are, due to their lightweight resource footprint, and compliance to ETSI standards, suitable solutions for resource and service management and orchestration within the network edge.
format Online
Article
Text
id pubmed-7412274
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-74122742020-08-17 Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context Slamnik-Kriještorac, Nina de Britto e Silva, Erik Municio, Esteban Carvalho de Resende, Henrique C. Hadiwardoyo, Seilendria A. Marquez-Barja, Johann M. Sensors (Basel) Article By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing the overall latency. Fostering the synergy between 5G and MEC brings ultra-reliable low-latency in data transmission, and paves the way towards numerous latency-sensitive automotive use cases, with the ultimate goal of enabling autonomous driving. Despite the benefits of significant latency reduction, bringing MEC platforms into 5G-based vehicular networks imposes severe challenges towards poorly scalable network management, as MEC platforms usually represent a highly heterogeneous environment. Therefore, there is a strong need to perform network management and orchestration in an automated way, which, being supported by Software Defined Networking (SDN) and Network Function Virtualization (NFV), will further decrease the latency. With recent advances in SDN, along with NFV, which aim to facilitate management automation for tackling delay issues in vehicular communications, we study the closed-loop life-cycle management of network services, and map such cycle to the Management and Orchestration (MANO) systems, such as ETSI NFV MANO. In this paper, we provide a comprehensive overview of existing MANO solutions, studying their most important features to enable network service and resource orchestration in MEC-enhanced vehicular networks. Finally, using a real testbed setup, we conduct and present an extensive performance analysis of Open Baton and Open Source MANO that are, due to their lightweight resource footprint, and compliance to ETSI standards, suitable solutions for resource and service management and orchestration within the network edge. MDPI 2020-07-10 /pmc/articles/PMC7412274/ /pubmed/32664251 http://dx.doi.org/10.3390/s20143852 Text en © 2020 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
Slamnik-Kriještorac, Nina
de Britto e Silva, Erik
Municio, Esteban
Carvalho de Resende, Henrique C.
Hadiwardoyo, Seilendria A.
Marquez-Barja, Johann M.
Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context
title Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context
title_full Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context
title_fullStr Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context
title_full_unstemmed Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context
title_short Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context
title_sort network service and resource orchestration: a feature and performance analysis within the mec-enhanced vehicular network context
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412274/
https://www.ncbi.nlm.nih.gov/pubmed/32664251
http://dx.doi.org/10.3390/s20143852
work_keys_str_mv AT slamnikkrijestoracnina networkserviceandresourceorchestrationafeatureandperformanceanalysiswithinthemecenhancedvehicularnetworkcontext
AT debrittoesilvaerik networkserviceandresourceorchestrationafeatureandperformanceanalysiswithinthemecenhancedvehicularnetworkcontext
AT municioesteban networkserviceandresourceorchestrationafeatureandperformanceanalysiswithinthemecenhancedvehicularnetworkcontext
AT carvalhoderesendehenriquec networkserviceandresourceorchestrationafeatureandperformanceanalysiswithinthemecenhancedvehicularnetworkcontext
AT hadiwardoyoseilendriaa networkserviceandresourceorchestrationafeatureandperformanceanalysiswithinthemecenhancedvehicularnetworkcontext
AT marquezbarjajohannm networkserviceandresourceorchestrationafeatureandperformanceanalysiswithinthemecenhancedvehicularnetworkcontext