Genetic Algorithm for Effective Service Mapping in the Optical Backhaul of 5G Networks

Ruiz Pérez, Lidia; Durán Barroso, Ramón José; Miguel Jiménez, Ignacio de; Khodashenas, Pouria S.; Pedreno Manresa, José Juan; Merayo Álvarez, Noemí; Aguado Manzano, Juan Carlos; Pavón Marino, Pablo; Siddiqui, Shuaib; Mata, Javier; Fernández Reguero, Patricia; Lorenzo Toledo, Rubén Mateo; Abril Domingo, Evaristo José

doi:10.1109/ICTON.2018.8473766

Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/33519

Título

Genetic Algorithm for Effective Service Mapping in the Optical Backhaul of 5G Networks

Congreso

International Conference on Transparent Optical Networks (ICTON) (20º. 2018. Bucharest)

Año del Documento

2018

Editorial

Institute of Electrical and Electronics Engineers (IEEE)

Descripción

Producción Científica

Documento Fuente

2018 20th International Conference on Transparent Optical Networks (ICTON), 1-5 July 2018, Bucharest, Romania

Resumen

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.

Palabras Clave

Red óptica

Optimización de red

Optical network

Network optimization

ISBN

978-1-5386-6605-0

DOI

10.1109/ICTON.2018.8473766

Patrocinador

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)

Patrocinador

info:eu-repo/grantAgreement/EC/H2020/671596
info:eu-repo/grantAgreement/EC/H2020/761727

Version del Editor

https://ieeexplore.ieee.org/document/8473766