| Texto completo | |
| Autor(es): |
Número total de Autores: 2
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| Afiliação do(s) autor(es): | [1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas - Brazil
[2] Univ Cape Verde, Fac Sci & Technol, Praia 279 - Cape Verde
Número total de Afiliações: 2
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| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS; v. 38, n. 7, p. 1505-1514, JUL 2020. |
| Citações Web of Science: | 0 |
| Resumo | |
The support of stringent requirements such as ultra-low latency and ultra-reliability of the forthcoming 5G services poses several challenges to telecommunications infrastructure providers. Network Function Virtualization, multi-access edge computing (MEC), and network slicing capabilities can help the support of such requirements. However, a trade- off between the cost of resource deployment and the support of service requirements needs to be taken into account in the design of NFV-based 5G networks. In this paper, we investigate the MEC location problem, which aims at selecting locations to place MECs hosting protected slices. We propose a MEC location problem enhanced with 1: 1 and 1 : N protection schemes for the provisioning of protected slices. In the 1: 1 scheme, protection is assured by reserving a backup slice for each tenant, whereas in the 1 : N scheme, a backup slice is shared among N tenants. The problem is modeled as a multi-criteria optimization problem and solved by the employment of a multi-objective evolutionary non-dominated sorting genetic algorithm. A comparison between the 1: 1 and 1 : N protection schemes is carried out in the context of 5G network slicing. Results show that the protection scheme 1: 1 can reduce the response time, at a higher deployment cost when compared to the 1 : N scheme. (AU) | |
| Processo FAPESP: | 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais |
| Beneficiário: | Nelson Luis Saldanha da Fonseca |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |