Authors:
Maurício Amaral Gonçalves
;
Natal Vieira de Souza Neto
;
Daniel Ricardo Cunha Oliveira
;
Flávio de Oliveira Silva
and
Pedro Frosi Rosa
Affiliation:
Faculty of Computing, Federal University of Uberlândia, Uberlândia, Brazil
Keyword(s):
Self-management, Self-driving, Intent-based, Autonomic Computing, SON, SDN, NFV, Future Internet, 5G.
Abstract:
The autonomous network concept has gained strength with the growing complexity of the current networks, especially after the definition of 5G requirements and their key performance indicators. This concept is challenging to implement in legacy networks, and it has become feasible with the emergence of network softwarization, which enables the deployment of functionalities through a logically centralized control plane abstraction. The network softwarization simplifies the management process, reduces operational costs (OPEX), enhances protection against failures, and enables complex requirements such as high-performance indicators and IoT support. The Self-Organizing Networks Architecture (SONAr) project uses cutting-edge technologies and concepts such as SDN, NFV, and Machine Learning. It proposes a new architecture aimed at the design of self-management in computer networks, oriented by declarative intents. In this work, we introduce the SONAr project by describing its components and
specifications. We also present a case study that shows the self-configuration property that includes bootstrapping and plug-and-play operations using SONAr components focusing on strategies applicable to OpenFlow based networks. We explain the decisions made in the implementation and present comparative results between them.
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