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

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...

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Bibliographic Details
Published in:Applied sciences 2018-12, Vol.8 (12), p.2614
Main Authors: Ruiz, Lidia, Durán, Ramón J., De Miguel, Ignacio, Khodashenas, Pouria S., Pedreño-Manresa, Jose-Juan, Merayo, Noemí, Aguado, Juan C., Pavón-Marino, Pablo, Siddiqui, Shuaib, Mata, Javier, Fernández, Patricia, Lorenzo, Rubén M., Abril, Evaristo J.
Format: Article
Language:English
Subjects:
Algorithms
C-RAN
Cloud computing
Computer applications
Data processing
Energy consumption
genetic algorithm
Genetic algorithms
International conferences
Internet
network planning
NFV
Optical communication
optical network
Provisioning
Random variables
SDN
Software
Streaming media
Video transmission
VNF
VNF Scaling
VNF-Provisioning
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8122614