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

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...

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Main Authors: Pedro Neves, Rui Calé, Mário Rui Costa, Carlos Parada, Bruno Parreira, Jose Alcaraz-Calero, Qi Wang, James Nightingale, Enrique Chirivella-Perez, Wei Jiang, Hans Dieter Schotten, Konstantinos Koutsopoulos, Anastasius Gavras, Maria João Barros
Format: Article
Language:English
Published: Wiley 2016-02-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2016/2897479
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author Pedro Neves
Rui Calé
Mário Rui Costa
Carlos Parada
Bruno Parreira
Jose Alcaraz-Calero
Qi Wang
James Nightingale
Enrique Chirivella-Perez
Wei Jiang
Hans Dieter Schotten
Konstantinos Koutsopoulos
Anastasius Gavras
Maria João Barros
author_facet Pedro Neves
Rui Calé
Mário Rui Costa
Carlos Parada
Bruno Parreira
Jose Alcaraz-Calero
Qi Wang
James Nightingale
Enrique Chirivella-Perez
Wei Jiang
Hans Dieter Schotten
Konstantinos Koutsopoulos
Anastasius Gavras
Maria João Barros
author_sort Pedro Neves
collection DOAJ
description 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.
format Article
id doaj-art-9aa3ecd9d8c14afabc76b189a895b824
institution OA Journals
issn 1550-1477
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publishDate 2016-02-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-9aa3ecd9d8c14afabc76b189a895b8242025-08-20T02:20:26ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-02-011210.1155/2016/28974792897479The SELFNET Approach for Autonomic Management in an NFV/SDN Networking ParadigmPedro Neves0Rui Calé1Mário Rui Costa2Carlos Parada3Bruno Parreira4Jose Alcaraz-Calero5Qi Wang6James Nightingale7Enrique Chirivella-Perez8Wei Jiang9Hans Dieter Schotten10Konstantinos Koutsopoulos11Anastasius Gavras12Maria João Barros13 Portugal Telecom Inovação (PTIN), Rua Eng. José Ferreira Pinto Basto, 3810-106 Aveiro, Portugal Portugal Telecom Inovação (PTIN), Rua Eng. José Ferreira Pinto Basto, 3810-106 Aveiro, Portugal Portugal Telecom Inovação (PTIN), Rua Eng. José Ferreira Pinto Basto, 3810-106 Aveiro, Portugal Portugal Telecom Inovação (PTIN), Rua Eng. José Ferreira Pinto Basto, 3810-106 Aveiro, Portugal Portugal Telecom Inovação (PTIN), Rua Eng. José Ferreira Pinto Basto, 3810-106 Aveiro, Portugal University of West Scotland (UWS), Almada Street, Hamilton, South Lanarkshire ML3 0JB, UK University of West Scotland (UWS), Almada Street, Hamilton, South Lanarkshire ML3 0JB, UK University of West Scotland (UWS), Almada Street, Hamilton, South Lanarkshire ML3 0JB, UK University of West Scotland (UWS), Almada Street, Hamilton, South Lanarkshire ML3 0JB, UK German Research Centre for Artificial Intelligence (DFKI GmbH), 67655 Kaiserslautern, Germany German Research Centre for Artificial Intelligence (DFKI GmbH), 67655 Kaiserslautern, Germany Creative Systems Engineering (CSE), Agiou Meletiou 45, 11257 Athens, Greece Eurescom, Wieblinger Weg 19, 69123 Heidelberg, Germany Eurescom, Wieblinger Weg 19, 69123 Heidelberg, GermanyTo 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.https://doi.org/10.1155/2016/2897479
spellingShingle Pedro Neves
Rui Calé
Mário Rui Costa
Carlos Parada
Bruno Parreira
Jose Alcaraz-Calero
Qi Wang
James Nightingale
Enrique Chirivella-Perez
Wei Jiang
Hans Dieter Schotten
Konstantinos Koutsopoulos
Anastasius Gavras
Maria João Barros
The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
International Journal of Distributed Sensor Networks
title The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
title_full The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
title_fullStr The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
title_full_unstemmed The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
title_short The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
title_sort selfnet approach for autonomic management in an nfv sdn networking paradigm
url https://doi.org/10.1155/2016/2897479
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