5G-Slicing-Enabled Scalable SDN Core Network: Toward an Ultra-Low Latency of Autonomous Driving Service
| Autor: | Adlen Ksentini, Mohammed Amine Togou, Lyes Khoukhi, Djabir Abdeldjalil Chekired |
|---|---|
| Přispěvatelé: | Environnement de Réseaux Autonomes (ERA), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Dublin City University [Dublin] (DCU), Eurecom [Sophia Antipolis], Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Queue management system
Computer Networks and Communications Computer science business.industry Quality of service Distributed computing Core network 020206 networking & telecommunications Cloud computing 02 engineering and technology Propagation delay System model [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Scalability 0202 electrical engineering electronic engineering information engineering Resource management Electrical and Electronic Engineering business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | IEEE Journal on Selected Areas in Communications IEEE Journal on Selected Areas in Communications, Institute of Electrical and Electronics Engineers, 2019, 37 (8), pp.1769-1782. ⟨10.1109/JSAC.2019.2927065⟩ IEEE Journal on Selected Areas in Communications, 2019, 37 (8), pp.1769-1782. ⟨10.1109/JSAC.2019.2927065⟩ |
| ISSN: | 0733-8716 |
| DOI: | 10.1109/JSAC.2019.2927065⟩ |
| Popis: | 5G networks are anticipated to support a plethora of innovative and promising network services. These services have heterogeneous performance requirements (e.g., high-rate traffic, low latency, and high reliability). To meet them, 5G networks are entailed to endorse flexibility that can be fulfilled through the deployment of new emerging technologies, mainly software-defined networking (SDN), network functions virtualization (NFV), and network slicing. In this paper, we focus on an interesting automotive vertical use case: autonomous vehicles. Our aim is to enhance the quality of service of autonomous driving application. To this end, we design a framework that uses the aforementioned technologies to enhance the quality of service of the autonomous driving application. The framework is made of 1) a distributed and scalable SDN core network architecture that deploys fog, edge and cloud computing technologies; 2) a network slicing function that maps autonomous driving functionalities into service slices; and 3) a network and service slicing system model that promotes a four-layer logical architecture to improve the transmission efficiency and satisfy the low latency constraint. In addition, we present a theoretical analysis of the propagation delay and the handling latency based on GI/M/1 queuing system. Simulation results show that our framework meets the low-latency requirement of the autonomous driving application as it incurs low propagation delay and handling latency for autonomous driving traffic compared to best-effort traffic. |
| Databáze: | OpenAIRE |
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