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BER degradation detection and failure identification in elastic optical networks

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10.1109/JLT.2017.2747223
 
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hdl:2117/107772

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Vela, Alba P.
Ruiz Ramírez, MarcMés informacióMés informacióMés informació
Fresi, Francesco
Sambo, Nicola
Cugini, Filippo
Meloni, Gianluca
Poti, Luca
Velasco Esteban, Luis DomingoMés informacióMés informacióMés informació
Castoldi, Piero
Document typeArticle
Defense date2017-08-30
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectMETRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
Abstract
IEEE Optical connections support virtual links in MPLS-over-optical multilayer networks and therefore, errors in the optical layer impact on the quality of the services deployed on such networks. Monitoring the performance of the physical layer allows verifying the proper working of optical connections, as well as to detect bit error rate (BER) degradation and anticipate connection disruption. In addition, failure identification facilitates localizing the cause of the failure by providing a short list of potential failed elements and enables self-decision making to keep committed service level. In this paper, we analyze several failure causes affecting the quality of optical connections and propose two different algorithms: one focused on detecting significant BER changes in optical connections, named as BANDO, and the other focused on identify the most probable failure pattern, named as LUCIDA. BANDO runs inside the network nodes to accelerate degradation detection and sends a notification to the LUCIDA algorithm running on the centralized controller. Experimental measures were carried out on two different setups to obtain values for BER and received power and used to generate synthetic data used in subsequent simulations. Results show significant improvement anticipating maximum BER violation with small failure identification errors.
CitationVela, A., Ruiz, M., Fresi, F., Sambo, N., Cugini, F., Meloni, G., Poti, L., Velasco, L., Castoldi, P. BER degradation detection and failure identification in elastic optical networks. "Journal of lightwave technology", 30 Agost 2017, vol. 35, num. 21, p. 4595-4604 
URIhttp://hdl.handle.net/2117/107772
DOI10.1109/JLT.2017.2747223
ISSN0733-8724
Publisher versionhttp://ieeexplore.ieee.org/document/8022684/
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  • Departament d'Arquitectura de Computadors - Articles de revista [967]
  • GCO - Grup de Comunicacions Òptiques - Articles de revista [220]
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