Intrinsically Resilient Optical Backbones: An Efficient Ring-Based Interconnection Paradigm - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Intrinsically Resilient Optical Backbones: An Efficient Ring-Based Interconnection Paradigm

Résumé

Physical topologies are evolving from elementary survivable rings into complex mesh networks. Nevertheless, no topology model is known to provide an economic, systematic, and flexible interconnection paradigm for ensuring that those meshes bear resilience features. This paper argues that intrinsic resilience can be brought by twin graph topologies, as they satisfy equal length disjoint path property with minimal number of physical links. An exhaustive investigation is performed across twin graph families composing networks from 4 to 17 nodes, whereas diverse real-world topologies and ring networks are used as benchmarks. First, we illustrate the growing process, and discuss the topology diversity of twin graphs. We analyze the impact of single cable cuts between neighbouring nodes, then we stress topologies with 2, 3, and 4 simultaneous cable cuts. Improved resiliency is seen for neighbor nodes and also reduction of cut sets able to disconnect the twin topologies in comparison with real-world networks. Finally, we present as a use case the redesign of CESNET into a resilient network.
Fichier principal
Vignette du fichier
484327_1_En_22_Chapter.pdf (347.67 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03200660 , version 1 (16-04-2021)

Licence

Paternité

Identifiants

Citer

Marcia Paiva, Gilles Caporossi, Moises Ribeiro, Marcelo Segatto. Intrinsically Resilient Optical Backbones: An Efficient Ring-Based Interconnection Paradigm. 23th International IFIP Conference on Optical Network Design and Modeling (ONDM), May 2019, Athens, Greece. pp.248-260, ⟨10.1007/978-3-030-38085-4_22⟩. ⟨hal-03200660⟩
18 Consultations
4 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More