Title: A fuzzy controller for an adaptive VNFs placement in 5G network architecture

Authors: Sara Retal; Abdellah Idrissi

Addresses: Intelligent Processing Systems and Security (IPSS), Computer Science Department, Faculty of Sciences, Mohammed V University, Rabat, Morocco ' Intelligent Processing Systems and Security (IPSS), Computer Science Department, Faculty of Sciences, Mohammed V University, Rabat, Morocco

Abstract: In cloud computing field, computation and memory resources are becoming a relevant growing business. On the other hand, mobile network architecture faces many hurdles, including lack of flexibility for providing enhanced services and distributed architecture, and expensive cost to provide a network topology that meets the users' equipment (UEs) needs. To cope with these problems, cloud computing is used in mobile telecommunications market thanks to network functions virtualisation. In our paper, we develop a fuzzy controller to support virtual network functions placement and provide an adaptive solution to manage and organise the network. Our approach enables the solution to adapt to UEs' mobility and their needs in term of quality of experience. Furthermore, it minimises S-GWs relocation cost and the path between UEs and packet data network gateways, taking into account the resources capacities. The experimental results show that our approach provides good results compared to the literature methods.

Keywords: cloud computing; virtual network functions placement; adaptive placement; fuzzy controller; multi-objective optimisation.

DOI: 10.1504/IJCSE.2020.105743

International Journal of Computational Science and Engineering, 2020 Vol.21 No.2, pp.304 - 314

Received: 13 Jul 2018
Accepted: 21 Oct 2018
Published online: 11 Mar 2020 *

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