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Brown-field gradual migration planning toward spectrally-spatially flexible optical networks

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Lechowicz, Piotr
Perelló Muntan, JordiMés informacióMés informacióMés informació
Spadaro, SalvatoreMés informacióMés informacióMés informació
Walkowiak, Krzysztof
Document typeConference report
Defense date2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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
ProjectDISEÑANDO UNA INFRAESTRUCTURA DE RED 5G DEFINIDA MEDIANTE CONOCIMIENTO HACIA LA PROXIMA SOCIEDAD DIGITAL-B (AEI-TEC2017-90034-C2-2-R)
Abstract
In this paper, we motivate a brown-field migrationplanning as a cost-efficient procedure to scale the capacity ofshort-term realizable elastic optical networks (EONs), graduallyconverting them into spectrally-spatially flexible optical networks(SS-FONs). After a formal statement of the brown-field EON toSS-FON migration planning problem, a Stochastic Iterated LocalSearch (SILS) metaheuristic is presented to solve it in realistictime-scales. Using the proposed metaheuristic, we study themigration of two different reference backbone EONs to SS-FONsbased in realistic traffic forecasts up to year 2031, accountingfor both unicast and anycast traffic types. The obtained resultsalso serve to highlight the good performance of the proposedSILS metaheuristic versus alternative heuristic approaches usedas benchmark.
CitationLechowicz, P. [et al.]. Brown-field gradual migration planning toward spectrally-spatially flexible optical networks. A: International Conference on Optical Network Design and Modeling. "2020 International Conference on Optical Network Design and Modeling (ONDM) took place 18-21 May 2020 in Castelldefels, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1-6. 
URIhttp://hdl.handle.net/2117/191916
ISBN978-3-903176-22-5
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