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Appl. Sci. 2018, 8(12), 2614; https://doi.org/10.3390/app8122614

A Genetic Algorithm for VNF Provisioning in NFV-Enabled Cloud/MEC RAN Architectures

1
Optical Communications Group. Universidad de Valladolid. Paseo de Belén, 15, 47011 Valladolid, Spain
2
i2CAT Foundation, C/Gran Capità, 2, 08034 Barcelona, Spain
3
Telecommunication Networks Engineering Group. Universidad Politécnica de Cartagena, Cuartel de Antiguones, Plaza del Hospital 1, 30202 Cartagena, Spain
*
Authors to whom correspondence should be addressed.
Received: 19 October 2018 / Revised: 30 November 2018 / Accepted: 10 December 2018 / Published: 13 December 2018
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Abstract

5G technologies promise to bring new network and service capacities and are expected to introduce significant architectural and service deployment transformations. The Cloud-Radio Access Networks (C-RAN) architecture, enabled by the combination of Software Defined Networking (SDN), Network Function Virtualization (NFV) and Mobile Edge Computing (MEC) technologies, play a key role in the development of 5G. In this context, this paper addresses the problems of Virtual Network Functions (VNF) provisioning (VNF-placement and service chain allocation) in a 5G network. In order to solve that problem, we propose a genetic algorithm that, considering both computing resources and optical network capacity, minimizes both the service blocking rate and CPU usage. In addition, we present an algorithm extension that adds a learning stage and evaluate the algorithm performance benefits in those scenarios where VNF allocations can be reconfigured. Results reveal and quantify the advantages of reconfiguring the VNF mapping depending on the current demands. Our methods outperform previous proposals in the literature, reducing the service blocking ratio while saving energy by reducing the number of active core CPUs. View Full-Text
Keywords: 5G; optical network; C-RAN; NFV; SDN; VNF; VNF-Provisioning; genetic algorithm; network planning; VNF Scaling 5G; optical network; C-RAN; NFV; SDN; VNF; VNF-Provisioning; genetic algorithm; network planning; VNF Scaling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ruiz, L.; Durán, R.J.; De Miguel, I.; Khodashenas, P.S.; Pedreño-Manresa, J.-J.; Merayo, N.; Aguado, J.C.; Pavón-Marino, P.; Siddiqui, S.; Mata, J.; Fernández, P.; Lorenzo, R.M.; Abril, E.J. A Genetic Algorithm for VNF Provisioning in NFV-Enabled Cloud/MEC RAN Architectures. Appl. Sci. 2018, 8, 2614.

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