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In Ultrareliable and Low Latency Communications (URLLC), balancing trade-offs between energy consumption, service availability, and strict reliability and latency requirements is a significant challenge, especially in unmanned aerial vehicle (UAV)-enabled multi-access edge computing (MEC) environments. The constraints imposed by the size, weight an...
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... setup/repair times and failures are also exponentially distributed with rates and , respectively. A regular first come first served queue was assumed for new requests with prioritization for retrial. We assume a standalone deployment and the system is modeled as an M/M/n+c/K queue ( Fig. 2) with setup time and failure. The feasible state space is given ...Context 2
... leftmost diagonal states of Fig. 2 denote the system with no busy VM and some containers running services and are described by Eq. (7), while Eq. (8) refers to the system states with all VM-hosted VNFs idle and all the containers busy. In the top left states (Eq. 9), all containers are occupied but some VMs are idle. In Eq. (10), all VMs and containers (CTs) are busy ...Context 3
... the buffer is holding some services is described by Eq. (14). Furthermore, at the frontier, Eq. (15) refers to the states where all VMs and part of the containers are serving, but no services are buffered. Lastly, the states where both VMs and containers are partially occupied and the buffer is empty is located at the left intermediate part of Fig. 2, and its respective equation is (16). The full equation set is summarized in Table 2 and colored according to the states presented in Fig. ...Context 4
... part of the containers are serving, but no services are buffered. Lastly, the states where both VMs and containers are partially occupied and the buffer is empty is located at the left intermediate part of Fig. 2, and its respective equation is (16). The full equation set is summarized in Table 2 and colored according to the states presented in Fig. ...Citations
... Essa omissão pode afetar as métricas de desempenho do sistema, como a disponibilidade de recursos e o consumo de energia. Diferentes dos descritos acima, o modelo aqui proposto incorpora tais eventos e considerações apontadas em [Abdelhadi et al. 2022], [Falcao et al. 2022], [Falcao et al. 2023] e [Souza et al. 2021] em um sistema MEC-NFV com coexistência de serviços URLLC e eMBB. ...
A Computação de Borda de Acesso Múltiplo (MEC) e a Virtualização de Funções de Rede (NFV) são tecnologias-chave da Quinta Geração de Redes Móveis (5G) para suportar serviços como o de Comunicação Ultra Confiável e com Baixa Latência (URLLC) e a Banda Larga Móvel Melhorada (eMBB). Entretanto, garantir a coexistência desses serviços é desafiador, especialmente na alocação dinâmica de recursos no domínio MEC-NFV. Este artigo apresenta um modelo baseado em Cadeia de Markov de Tempo Contínuo (CTMC) para analisar o impacto da alocação dinâmica de recursos em ambos os serviços em um ambiente MEC-NFV, considerando a sobrecarga de virtualização, falhas nos recursos virtuais e diferentes número de contêineres e tamanho de buffer. Resultados mostram que a disponibilidade, o tempo de resposta e o consumo de energia são fortemente impactados pelo número de contêineres, enquanto o tamanho de buffer afeta principalmente os tempos de resposta.