TY - JOUR 
A1 - Ruiz Pérez, Lidia
AU - Durán Barroso, Ramón José
AU - Miguel Jiménez, Ignacio de
AU - Khodashenas, Pouria Sayyad
AU - Pedreño Manresa, José Juan
AU - Merayo Álvarez, Noemí
AU - Aguado Manzano, Juan Carlos
AU - Pavón Mariño, Pablo
AU - Siddiqui, Shuaib
AU - Mata, Javier
AU - Fernández Reguero, Patricia
AU - Lorenzo Toledo, Rubén Mateo
AU - Abril Domingo, Evaristo José
T1 - A genetic algorithm for VNF provisioning in NFV-enabled cloud/MEC RAN architectures
Y1 - 2018
SN - 2076-3417
UR - http://hdl.handle.net/10317/7765
AB - 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
KW - Ingeniería Telemática
KW - Optical network
KW - VNF-Provisioning
KW - Genetic algorithm
KW - VNF Scaling
KW - Network planning
KW - 3325 Tecnología de las Telecomunicaciones
LA - eng
PB - MDPI
ER -