Specialized Network Self-configuration: An Approach using Self-Organizing Networks Architecture (SONAr)

Daniel Oliveira, Maurício Gonçalves, Natal Neto, Flávio Silva, Pedro Rosa

Abstract

The increasing complexity of computer networks is constantly requiring the proposal of new network automation models. These are mostly based on Software-Defined Networks (SDN) and Network Functions Virtualization (NFV) with implementation of the features called self-* within the concept of Self-Organizing Networks (SON), which includes self-configuration. Regarding this matter, some models have already been proposed at a higher level of definition, but there is still a lot of practical work to be done. In this paper, we present the modeling, implementation and performance of a network self-configuration system when a new edge element, which demands a specialized type of configuration, has been inserted. This is a typical case of a telecom network, in which edge network elements (NEs) usually require a very specific set of network parameters to be configured. The system recognizes the element and implements this specific network segment parameterization, acting as a specialized ”plug-and-play” feature. The approach will be based on the Self-Organized Networks Architecture (SONAr) framework, which was very suitable for this functionality.

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Paper Citation


in Harvard Style

Oliveira D., Gonçalves M., Neto N., Silva F. and Rosa P. (2021). Specialized Network Self-configuration: An Approach using Self-Organizing Networks Architecture (SONAr). In Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-510-4, pages 161-168. DOI: 10.5220/0010403601610168


in Bibtex Style

@conference{closer21,
author={Daniel Oliveira and Maurício Gonçalves and Natal Neto and Flávio Silva and Pedro Rosa},
title={Specialized Network Self-configuration: An Approach using Self-Organizing Networks Architecture (SONAr)},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2021},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010403601610168},
isbn={978-989-758-510-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Specialized Network Self-configuration: An Approach using Self-Organizing Networks Architecture (SONAr)
SN - 978-989-758-510-4
AU - Oliveira D.
AU - Gonçalves M.
AU - Neto N.
AU - Silva F.
AU - Rosa P.
PY - 2021
SP - 161
EP - 168
DO - 10.5220/0010403601610168