A Novel Strategy for VNF Placement in Edge Computing Environments

Anselmo Luiz Éden Battisti (), Evandro Luiz Cardoso Macedo (), Marina Ivanov Pereira Josué, Hugo Barbalho, Flávia C. Delicato, Débora Christina Muchaluat-Saade, Paulo F. Pires, Douglas Paulo de Mattos and Ana Cristina Bernardo de Oliveira
Additional contact information
Anselmo Luiz Éden Battisti: MidiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil
Evandro Luiz Cardoso Macedo: High-Speed Networks Laboratory, Systems Engineering and Computer Science Program (PESC), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-914, Brazil
Marina Ivanov Pereira Josué: MidiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil
Hugo Barbalho: Dell EMC Research Center, Rua Antônio Barros de Castro, 119, Cidade Universitária, Rio de Janeiro 21941-615, Brazil
Flávia C. Delicato: MidiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil
Débora Christina Muchaluat-Saade: MidiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil
Paulo F. Pires: MidiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil
Douglas Paulo de Mattos: MidiaCom Laboratory, Institute of Computing, Universidade Federal Fluminense (UFF), Niterói 24210-240, Brazil
Ana Cristina Bernardo de Oliveira: Dell EMC Research Center, Rua Antônio Barros de Castro, 119, Cidade Universitária, Rio de Janeiro 21941-615, Brazil

Future Internet, 2022, vol. 14, issue 12, 1-20

Abstract: Network function virtualization (NFV) is a novel technology that virtualizes computing, network, and storage resources to decouple the network functions from the underlying hardware, thus allowing the software implementation of such functions to run on commodity hardware. By doing this, NFV provides the necessary flexibility to enable agile, cost-effective, and on-demand service delivery models combined with automated management. Different management and orchestration challenges arise in such virtualized and distributed environments. A major challenge in the selection of the most suitable edge nodes is that of deploying virtual network functions (VNFs) to meet requests from multiple users. This article addresses the VNF placement problem by providing a novel integer linear programming (ILP) optimization model and a novel VNF placement algorithm. In our definition, the multi-objective optimization problem aims to (i) minimize the energy consumption in the edge nodes; (ii) minimize the total latency; and (iii) reducing the total cost of the infrastructure. Our new solution formulates the VNF placement problem by taking these three objectives into account simultaneously. In addition, the novel VNF placement algorithm leverages VNF sharing, which reuses VNF instances already placed to potentially reduce computational resource usage. Such a feature is still little explored in the community. Through simulation, numerical results show that our approach can perform better than other approaches found in the literature regarding resource consumption and the number of SFC requests met.

Keywords: 5G; edge computing; VNF placement (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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