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

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

doi:10.1155/2016/2897479

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

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

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1-17
Number of pages	17
Journal	International Journal of Distributed Sensor Networks
Volume	12
Issue number	2
DOIs	https://doi.org/10.1155/2016/2897479
Publication status	Published - 14 Feb 2016

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10.1155/2016/2897479Licence: CC BY

Qi Wang
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Neves, P., Calé, R., Rui Costa, M., Parada, C., Parreira, B., Alcaraz-Calero, J., Wang, Q., Nightingale, J., Chirivella-Perez, E., Jiang, W., Schotten, H. D., Koutsopoulos, K., Gavras, A., & Barros, M. J. (2016). The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm. International Journal of Distributed Sensor Networks, 12(2), 1-17. https://doi.org/10.1155/2016/2897479

@article{be25fd22f3e6459991109a3c9c9c4ae7,

title = "The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm",

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. ",

author = "Pedro Neves and Rui Cal{\'e} and \{Rui Costa\}, M{\'a}rio and Carlos Parada and Bruno Parreira and Jose Alcaraz-Calero and Qi Wang and James Nightingale and Enrique Chirivella-Perez and Wei Jiang and Schotten, \{Hans Dieter\} and Konstantinos Koutsopoulos and Anastasius Gavras and Barros, \{Maria Jo{\~a}o\}",

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doi = "10.1155/2016/2897479",

language = "English",

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Neves, P, Calé, R, Rui Costa, M, Parada, C, Parreira, B, Alcaraz-Calero, J, Wang, Q, Nightingale, J, Chirivella-Perez, E, Jiang, W, Schotten, HD, Koutsopoulos, K, Gavras, A & Barros, MJ 2016, 'The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm', International Journal of Distributed Sensor Networks, vol. 12, no. 2, pp. 1-17. https://doi.org/10.1155/2016/2897479

TY - JOUR

T1 - The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm

AU - Neves, Pedro

AU - Calé, Rui

AU - Rui Costa, Mário

AU - Parada, Carlos

AU - Parreira, Bruno

AU - Alcaraz-Calero, Jose

AU - Wang, Qi

AU - Nightingale, James

AU - Chirivella-Perez, Enrique

AU - Jiang, Wei

AU - Schotten, Hans Dieter

AU - Koutsopoulos, Konstantinos

AU - Gavras, Anastasius

AU - Barros, Maria João

PY - 2016/2/14

Y1 - 2016/2/14

N2 - 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.

AB - 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.

U2 - 10.1155/2016/2897479

DO - 10.1155/2016/2897479

M3 - Article

VL - 12

SP - 1

EP - 17

JO - International Journal of Distributed Sensor Networks

JF - International Journal of Distributed Sensor Networks

IS - 2

ER -

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

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