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—A spectrum-sliced elastic optical path network (SLICE) architecture has been recently proposed as an efficient solution for a flexible bandwidth allocation in optical networks. In SLICE, the problem of Routing and Spectrum Assignment (RSA) emerges. In this letter, we both formulate RSA as an Integer Linear Programming (ILP) problem and propose an effective(More)
Optical networks are moving from opaque and translucent architectures towards all-optical (transparent) architectures. In translucent architectures a small amount of regeneration (e.g. optical–electronic–optical conversion) is available in the network. The incorporation of the physical impairments in the routing and wavelength assignment (RWA) problem in(More)
—Elastic flexgrid optical networks (FG-ON) are considered a very promising solution for next-generation optical networks. In this article we focus on lightpath adaptation under variable traffic demands in FG-ON. Specifically, we explore the elastic spectrum allocation (SA) capability of FG-ON and, in this context, we study the effectiveness of three(More)
— Optical Burst Switching (OBS) architectures without buffering capabilities are sensitive to burst losses. A proper routing strategy may help to reduce such congestion. In this letter we present a novel approach for OBS multi-path source routing problem. Our solution is based on non-linear optimization with a straightforward calculation of partial(More)
Acknowledgements to To Sebastien for his guidance and for all the knowledge he has kindly shared with me To Christian for having hosted me at TCOM and for all his valuable counsels To Josep and Davide for their motivation and support during all this thesis To Mirek special thanks for his measureless support. To Montse, my parents, brothers and family for(More)
In this work we address the problem of static Routing and Spectrum Assignment (RSA) in a flexible grid optical network with dedicated path protection consideration. Since RSA is a difficult problem, we make use of the Genetic Algorithm (GA) metaheuristic to provide near-optimal solutions to the problem. We investigate the effectiveness of GA for a set of(More)