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NFV and SDN-Based Differentiated Traffic Treatment for Residential Networks

Authors :
Ricardo Flores Moyano
David Fernandez
Noemi Merayo
Carlos M. Lentisco
Andres Cardenas
Source :
IEEE Access, Vol 8, Pp 34038-34055 (2020), UVaDOC. Repositorio Documental de la Universidad de Valladolid, instname
Publication Year :
2020
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2020.

Abstract

Producción Científica<br />Residential networks play a critical role in assuring that services or applications such as tele-work, tele-education, medical care, entertainment, home automation, among others, have the required resources to obtain an optimal performance. Although current residential gateways try to meet the Quality of Service (QoS) demands, the traditional networking paradigm does not have the appropriate mechanisms to address the heterogeneous and dynamic nature of the services running at home. In this context, a feasible solution consists of leveraging the flexibility and adaptability of the Software Defined Networking (SDN) and Network Functions Virtualization (NFV) paradigms to provide a differentiated traffic treatment intended to improve the QoS support of residential networks. The proposal takes advantage of the Service Function Chaining (SFC) concept intrinsic to NFV as well as the capacity of an SDN-based residential gateway to differentiate the traffic of a certain application. Thus, an association between an SFC and the differentiated traffic is stablished to apply a specific treatment. Besides, a comprehensive architecture composed of the software defined residential network (SDRN), the software defined access network (SDOAN) and the NFV-compliant ISP's edge cloud infrastructure is envisioned. This architecture would allow dramatically improving the life cycle management of the residential network from a centralized point which follows a user-centric approach.<br />Ministerio de Ciencia, Innovación y Universidades (grants TEC2015-67834-R, TEC2017-84423-C3-1-P, RED2018-102585-T and 0677_DISRUPTIVE_2_E)

Details

ISSN :
21693536
Volume :
8
Database :
OpenAIRE
Journal :
IEEE Access
Accession number :
edsair.doi.dedup.....b8a278f1a66615818e4fdf1681d76d0a