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Related Experiment Video

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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

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

Nina Slamnik-Kriještorac¹, Erik de Britto E Silva¹, Esteban Municio¹

¹IDLab-Faculty of Applied Engineering, University of Antwerp-imec, Sint-Pietersvliet, 2000 Antwerp, Belgium.

Sensors (Basel, Switzerland)

|July 16, 2020

Summary

Multi-Access Edge Computing (MEC) with 5G reduces latency for autonomous driving. This study evaluates Management and Orchestration (MANO) systems like Open Baton and Open Source MANO for efficient network management in these edge computing environments.

Keywords:

5G MANO MEC NFV V2X control edge and cloud computing monitoring orchestration vehicular communications

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Area of Science:

Computer Science
Telecommunications Engineering
Network Management

Background:

Multi-Access Edge Computing (MEC) enhances 5G by bringing resources closer to users, reducing latency for applications like autonomous driving.
Vehicular networks face scalability challenges with heterogeneous MEC platforms, necessitating automated network management.

Purpose of the Study:

To explore automated network management and orchestration solutions for MEC-enhanced 5G vehicular networks.
To analyze the suitability of existing Management and Orchestration (MANO) systems for edge computing environments.

Main Methods:

Comprehensive overview and feature study of current MANO solutions.
Performance analysis of Open Baton and Open Source MANO on a real testbed.
Mapping closed-loop network service life-cycle management to MANO systems.

Main Results:

Identified key features of MANO solutions for network service and resource orchestration in MEC vehicular networks.
Demonstrated the performance of Open Baton and Open Source MANO in a testbed setup.
Highlighted the suitability of these MANO solutions due to their resource efficiency and standards compliance.

Conclusions:

Automated network management using Software Defined Networking (SDN) and Network Function Virtualization (NFV) is crucial for MEC-enhanced vehicular networks.
Open Baton and Open Source MANO are viable solutions for managing resources and services at the network edge.
Effective MANO is essential for realizing the full potential of 5G and MEC in latency-sensitive automotive applications.