Abstract

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.

Highlights

  • Vehicular communications presently provide a support for a fruitful variety of safety, non-safety, and infotainment vehicular applications [1,2,3,4,5]

  • A feature-based analysis: Taking into account the feature-based Key Performance Indicators (KPIs), i.e., key features of Management and Orchestration (MANO) tools, we present a comprehensive overview of several MANO tools, developed within different research projects that recently increased the interest in network service orchestration

  • Our approach to evaluate different MANO tools extends the perspective presented in the works we studied, since we: (i) map the architecture of MANO solutions to the proposed closed-loop life-cycle management and orchestration, emphasizing its importance towards automation of network service and resource management and orchestration in vehicular communications, (ii) provide an extensive analysis of the most used orchestration tools based on their features, and (iii) compare two widely recognized MANO solutions, i.e., Open Baton (Release Six) and Open Source MANO (OSM) (Release Six), based on their performance in terms of instantiation delay, and their isolated features

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Summary

Introduction

Vehicular communications presently provide a support for a fruitful variety of safety (e.g., emergency electronic brake warning, lane change warning, forward collision warning, etc.), non-safety (e.g., traffic information systems), and infotainment (e.g., peer-to-peer gaming, IPTV, Internet content sharing, video streaming, etc.) vehicular applications [1,2,3,4,5]. We provide an overview of works that motivated the incorporation of 5G and MEC to vehicular communications, aiming to achieve ultra-low latency as an ultimate goal. To depict the peculiarities of such architecture, authors provided an architecture overview within confines of the two particular use cases, i.e., HD Map and Intelligent Intersection In their tutorial-based approach, Shah et al [1] present the mapping of the 5G key features on vehicular communications, explaining how these features can be beneficial for Vehicle-to-Everything (V2X) networks. Shah et al [1] point at the potential in using

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