The SELFNET approach for autonomic management in an NFV/SDN networking paradigm

Tools

Neves, Pedro and Calé, Rui and Costa, Mário Rui and Parada, Carlos and Parreira, Bruno and Alcaraz-Calero, Jose and Wang, Qi and Nightingale, James and Chirivella-Perez, Enrique and Jiang, Wei and Schotten, Hans Dieter and Koutsopoulos, Konstantinos and Gavras, Anastasius and Barros, Maria João (2016) The SELFNET approach for autonomic management in an NFV/SDN networking paradigm. International Journal of Distributed Sensor Networks, 12 (2). 2897479. ISSN 1550-1329 (https://doi.org/10.1155/2016/2897479)

[thumbnail of Neves-etal-IJDSN-2016-The-SELFNET-approach-for-autonomic-management]
Preview
 Text. Filename: Neves_etal_IJDSN_2016_The_SELFNET_approach_for_autonomic_management.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

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.

CORE (COnnecting REpositories)