A Genetic Algorithm for VNF Provisioning in NFV-Enabled Cloud/MEC RAN Architectures
Author
Ruiz Pérez, Lidia; Durán Barroso, Ramón J.; De Miguel, Ignacio; Khodashenas, Pouria S.; Pedreño Manresa, José Juan; [et al.]Knowledge Area
Ingeniería TelemáticaPublication date
2018-12-13Publisher
MDPIBibliographic Citation
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.Peer review
SiKeywords
Optical networkVNF-Provisioning
Genetic algorithm
VNF Scaling
Network planning
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 ...
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