Genetic algorithm for effective service mapping in the optical backhaul of 5G networks

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URI: http://hdl.handle.net/10317/9378
ISSN: 2161-2064
ISBN: 978-1-5386-6605-0
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Author
Ruiz Pérez, Lidia; Durán Barroso, Ramón José; Miguel Jiménez, Ignacio de; Khodashenas, Pouria Sayyad; Pedreño Manresa, José Juan; [et al.]
Knowledge Area
Ingeniería Telemática
Sponsors
Ministerio de Economía, Industria y Competitividad (Projects TEC2014- 53071-C3 -2-P, TEC2017-84423- C3 -1-P, TEC2015-71932- REDT) Ministerio de Educación, Cultura y Deporte (Proyects BES -2015-074514 and FPU14/04227)
Publication date
2018
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Bibliographic Citation
L. Ruiz et al., "Genetic Algorithm for Effective Service Mapping in the Optical Backhaul of 5G Networks," 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018, pp. 1-4, doi: 10.1109/ICTON.2018.8473766.
Keywords
Network
Network optimization
Optical network
Abstract
A genetic algorithm is proposed to map virtual network functions in computing resources over 5G networks with an optical backhauling system. The algorithm outperforms other proposals in terms of blocking ratio and active CPU cores utilization.
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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España