O docente e investigador da Faculdade de Ciência e Tecnologia da Uni-CV, Hernâni D. Chantre, publicou o artigo intitulado “The Location Problem for the Provisioning of Protected Slices in NFV-Based MEC Infrastructure”, no periódico IEEE Journal Selected Areas in Communications, de classificação Qualis A1 e JCR = 9.3.
O artigo desenvolvido em colaboração com o docente e investigador do Instituto de Computação, Universidade Estadual de Campinas, Brasil, Prof. Nelson Fonseca, investiga o problema de localização de computação de borda de múltiplo-acesso, para o provisionamento de fatias de redes com proteção de falhas sobre infraestrutura de redes móveis baseado em funções virtualizadas.
O IEEE Journal on Selected Areas in Communications concentra-se em tópicos técnicos nas diversas áreas de telecomunicações.
The support of stringent requirements such as ultralow 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 nondominated 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.