Paper Info
Title
Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure
Abstract
Network virtualization is a key enabler for 5G systems to support the expected use cases of vertical markets. In this context, we study the joint optimal deployment of Virtual Network Functions (VNFs) and allocation of computational resources in a hybrid cloud infrastructure by taking the requirements of the 5G services and the characteristics of the cloud architecture into consideration. The resulting mixed-integer problem is reformulated as an integer linear problem, which can be solved by using a standard solver. Our results underline the advantages of a hybrid infrastructure over a standard cloud radio access network consisting only of a central cloud, and show that the proposed mechanism to deploy VNF chains leads to high resource utilization efficiency and large gains in terms of the number of supported VNF chains. To deal with the computational complexity of optimizing a large number of clouds and VNF chains, we propose a simple low-complexity heuristic that attempts to find a feasible VNF deployment solution with a limited number of functional splits. Numerical results indicate that the performance of the proposed heuristic is close to the optimal one when the edge clouds are well dimensioned with respect to the computational requirements of the 5G services.
Year
DOI
Venue
2020
10.1109/TWC.2020.3017628
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
5G mobile communication,network function virtualization (NFV),network slicing,integer linear programming (ILP)
Journal
19
Issue
ISSN
Citations 
12
1536-1276
2
PageRank 
References 
Authors
0.36
0
3
Name
Order
Citations
PageRank
De Domenico Antonio181.18
Y. F. Liu245430.59
Wei Yu332422.95