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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Cognitive algorithm using fuzzy reasoning for software-defined optical network

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Autor(es):
Tronco, Tania Regina ; Garrich, Miquel ; Cesar, Amilcar Careli ; Rocha, Monica de Lacerda
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: PHOTONIC NETWORK COMMUNICATIONS; v. 32, n. 2, p. 281-292, OCT 2016.
Citações Web of Science: 5
Resumo

We propose a cognitive algorithm based on Fuzzy C-Means (FCM) technique for the learning and decision-making functionalities of software-defined optical networks (SDONs). SDON is a new optical network paradigm where the control plane is decoupled from the data plane, thus providing a degree of software programmability to the network. Our proposal is to add the FCM algorithm to the SDON control plane in order to achieve a better network performance, when compared with a non-cognitive control plane. In this context, we illustrate the use of the FCM algorithm for determining, in real time and autonomously, the modulation format of high-speed flexible rate transponders in accordance with the quality of transmission of optical channels. The performance of this FCM algorithm is evaluated via computational simulations for a long-haul network and compared to the case-based reasoning (CBR) algorithm, which is commonly used in optical cognitive networks. We demonstrate that FCM outperforms CBR in both fastness and error avoidance, achieving 100 % of successful classifications, being two orders of magnitude faster. Additionally, we propose a definition of cognitive optical networking and an architecture for the SDON control plane including the FCM engine. (AU)

Processo FAPESP: 13/05177-6 - Supercanal óptico
Beneficiário:Mônica de Lacerda Rocha
Modalidade de apoio: Auxílio à Pesquisa - Regular