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The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm.

Authors :
Neves, Pedro
Calé, Rui
Costa, Mário Rui
Parada, Carlos
Parreira, Bruno
Alcaraz-Calero, Jose
Wang, Qi
Nightingale, James
Chirivella-Perez, Enrique
Jiang, Wei
Schotten, Hans Dieter
Koutsopoulos, Konstantinos
Gavras, Anastasius
Barros, Maria João
Source :
International Journal of Distributed Sensor Networks. 2/14/2016, p1-17. 17p.
Publication Year :
2016

Abstract

To meet the challenging key performance indicators of the fifth generation (5G) system, the network infrastructure becomes more heterogeneous and complex. This will bring a high pressure on the reduction of OPEX and the improvement of the user experience. Hence, shifting today’s manual and semi-automatic network management into an autonomic and intelligent framework will play a vital role in the upcoming 5G system. Based on the cutting-edge technologies, such as Software-Defined Networking and Network Function Virtualization, a novel management framework upon the software-defined and Virtualized Network is proposed by EU H2020 SELFNET project. In the paper, the reference architecture of SELFNET, which is divided into Infrastructure Layer, Virtualized Network Layer, SON Control Layer, SON Autonomic Layer, NFV Orchestration and Management Layer, and Access Layer, will be presented. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15501329
Database :
Academic Search Index
Journal :
International Journal of Distributed Sensor Networks
Publication Type :
Academic Journal
Accession number :
113625714
Full Text :
https://doi.org/10.1155/2016/2897479