Title: Light-tree reconfiguration without flow interruption in sparse wavelength converter network

Authors: Amanvon Ferdinand Atta; Bernard Cousin; Joël Christian Adépo; Souleymane Oumtanaga

Addresses: Laboratoire de Recherche en Informatique et Télécommunication, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro, Côte d'Ivoire ' Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes 1, Rennes, France ' Unité de Recherche et d'Expertise Numérique, Université Virtuelle de Côte d'Ivoire, Abidjan, Côte d'Ivoire ' Laboratoire de Recherche en Informatique et Télécommunication, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro, Côte d'Ivoire

Abstract: Network reconfiguration is an important task in WDM optical networks, which enables the optimisation of network resources. With the growing demand for multicast applications (e.g., distance learning, IPTV), this study focuses on the reconfiguration of the routing of a multicast connection. In this study, the path of the multicast connection is represented by a light-tree. A light-tree reconfiguration consists of migrating an optical flow from a light-tree to a new one. However, it is very difficult to automate light-tree reconfiguration without flow interruption. Flow interruption is undesirable for network operators. Therefore, the problem studied here is to find a sequence of operations in order to migrate an optical flow from a light-tree to a new one without flow interruption in a sparse wavelength converter network. For solving the light-tree reconfiguration problem, we propose a method based on a sub-tree approach. The comprehensive simulation results demonstrated the effectiveness of our method.

Keywords: light-tree reconfiguration; flow interruption; wavelength converter; flow migration; optical network.

DOI: 10.1504/IJCNDS.2022.120297

International Journal of Communication Networks and Distributed Systems, 2022 Vol.28 No.1, pp.1 - 26

Received: 07 Nov 2020
Accepted: 09 Jun 2021

Published online: 03 Jan 2022 *

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