A Scalable Monitoring Framework for Network Slicing in 5G and Beyond Mobile Networks
| Autor: | Sagar Arora, Mohamed Mekki, Adlen Ksentini |
|---|---|
| Přispěvatelé: | Eurecom [Sophia Antipolis], European Project: 857031,5G!Drones |
| Rok vydání: | 2022 |
| Předmět: |
Monitoring systems
Data collection Computer Networks and Communications Computer science Distributed computing Network data [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering Slicing Domain (software engineering) Brokers Component (UML) Network Slicing Scalability Electrical and Electronic Engineering Communications protocol Monitoring systems 5G Network Slicing Brokers 5G |
| Zdroj: | IEEE Transactions on Network and Service Management IEEE Transactions on Network and Service Management, 2022, 19 (1), pp.413-423. ⟨10.1109/TNSM.2021.3119433⟩ |
| ISSN: | 2373-7379 1932-4537 |
| DOI: | 10.1109/tnsm.2021.3119433 |
| Popis: | International audience; An efficient and scalable monitoring system is a critical component for any network to monitor and validate the functioning of the running services and the underlying infrastructure. This is more valid in 5G, as it relies on the network slicing concept, which adds many challenges to the monitoring system. Besides data isolation and multi-tenancy support, network slices require monitoring different types of resources, like RAN, computing, memory, network data rate, which belong to different technological domains, managed by different entities. Moreover, the monitoring system needs to be scalable, as in 5G a high-number of running network slices is envisioned. In this paper, we devise a novel monitoring framework for network slicing ready mobile networks, which features: 1) scalable monitoring system that supports a high number of running network slices in parallel; 2) technological domain agnostic thanks to a novel data collection (or monitoring) communication protocol; 3) support of multi-tenancy in a cloudnative environment. The framework has been implemented in a 5G facility, and its performance has been extensively evaluated. |
| Databáze: | OpenAIRE |
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