E2E network slice management framework for 5G multi-tenant networks

Abstract

Network slicing is one of the cornerstone features of the Fifth Generation (5G) networks to enable the multiplexing of virtualised logical networks over the same physical network infrastructure for various vertical business ser- vices. Architectures based on network slicing enable net- work operators to offer End-to-End(E2E) vertical services whilst assuring fulfilling tailored Service Level Agreement (SLA) requirements. Despite the numerous benefits that this concept offers, the need for efficient, scalable and holistic E2E management of network slicing significantly complicates network operators’ network management and imposes significant challenges in the quality of service (QoS). This paper proposes a novel intent-based Slice Manager framework over a Service Base 5G Architecture that allows flexible definitions to customise network slices, automates all essential management tasks for 5G network slice providers, manages the life cycles of all sorts of network slices, and guarantees their QoS in a unified network slice management framework. The proposed framework is empirically validated in a realistic large-scale 5G multi-tenant infrastructure. The high scalability of the framework is based on the empirical results supporting more than 512 physical machines,534288 virtual machines and more than two million network interfaces.

Publication DOI: https://doi.org/10.23919/JCN.2023.000019
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
Aston University (General)
Additional Information: Copyright © 2023 KICS. Creative Commons Attribution-NonCommercial (CC BY-NC). This is an Open Access article distributed under the terms of Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the original work is properly cited.
Uncontrolled Keywords: 5G networks,network slicing,end-to-end network management,automation
Publication ISSN: 1229-2370
Last Modified: 18 Apr 2025 07:25
Date Deposited: 11 Apr 2025 08:00
Full Text Link:
Related URLs: https://ieeexpl ... cument/10146576 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-06-08
Accepted Date: 2023-06-01
Authors: Chirivella-Perez, Enrique
Salva-Garcia, Pablo
Sanchez-Navarro, Ignacio
Alcaraz-Calero, Jose M. (ORCID Profile 0000-0002-2654-7595)
Wang, Qi

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License: Creative Commons Attribution Non-commercial


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