| Texto completo | |
| Autor(es): |
Chantre, Hernani D.
;
da Fonseca, Nelson Luis Saldanha
Número total de Autores: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT; v. 23, p. 14-pg., 2026-01-01. |
| Resumo | |
This paper addresses the optimal placement of Multi-Access Edge Computing (MEC) nodes in 5G networks, aiming to meet stringent performance requirements while minimizing cost. It explores the impact of various Virtual Network Function (VNF) distribution strategies on overall network cost, specifically examining the 1:1 , 1:N , and 1:N:K protection schemes. To tackle the MEC location problem, bi-objective nonlinear mathematical models are employed for exact solutions in small-scale networks, while the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied for larger networks. The results reveal that VNF distribution can significantly escalate network costs, with fully distributed VNFs incurring the highest expenses. However, the enhanced protection scheme demonstrates improved cost-efficiency. These findings highlight the critical role of strategic MEC placement and intelligent resource allocation in building scalable, resilient, cost-effective 5G infrastructures. (AU) | |
| Processo FAPESP: | 23/00673-7 - Inteligência distribuída em redes de comunicação e internet das coisas |
| Beneficiário: | Nelson Luis Saldanha da Fonseca |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |