Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure

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 requiremen...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 19; no. 12; pp. 7942 - 7956
Main Authors: De Domenico, Antonio, Liu, Ya-Feng, Yu, Wei
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
5G mobile communication
Chains
Cloud computing
Complexity
Computer architecture
Computer Science
Engineering Sciences
Infrastructure
integer linear programming (ILP)
Mixed integer
network function virtualization (NFV)
Network slicing
Networking and Internet Architecture
Optimization
Radio access networks
Resource management
Resource utilization
Virtual networks
Wireless communication
Wireless networks
network slicing
5G mobile communication
integer linear programming (ILP)
network function virtualization (NFV)
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary: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.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3017628