| Texto completo | |
| Autor(es): |
da Costa, Joahannes B. D.
;
de Souza, Allan M.
;
Meneguette, Rodolfo I.
;
Cerqueira, Eduardo
;
Rosario, Denis
;
Sommer, Christoph
;
Villas, Leandro
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS; v. N/A, p. 15-pg., 2023-05-31. |
| Resumo | |
Vehicular Edge Computing (VEC) is a promising paradigm that provides cloud computing services closer to vehicular users. In VEC, vehicles and communication infrastructures can form pools with computational resources to meet vehicular services with low-latency constraints. These resource pools are known as Vehicular Cloud (VC). The usage of VC resources requires a task scheduling process. In this case, depending on its complexity, a vehicular service can be divided into different tasks. An efficient task scheduling needs to orchestrate where and for how long such tasks will run, considering the available pools, the mobility of nodes, and the tasks deadline constraints. Thus, this article proposes an efficient VC task scheduler based on an approximation heuristic and resources prediction to select the best VC for each task, called MARINA. MARINA aims to analyze the behavior of vehicles that share their computational resources with the VC and make scheduling decisions based on the mobility (VC availability) of these vehicles. Simulation results under a realistic scenario demonstrate the efficiency of MARINA compared to existing state-of-the-art mechanisms in terms of the number of tasks scheduled, monetary cost, system latency, and Central Processing Unit (CPU) utilization. (AU) | |
| Processo FAPESP: | 20/07162-0 - Serviços para um sistema de transporte inteligente |
| Beneficiário: | Rodolfo Ipolito Meneguette |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| 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 |
| Processo FAPESP: | 18/16703-4 - Computação em nuvem veicular para gerenciamento de informação em sistemas de transporte inteligentes |
| Beneficiário: | Joahannes Bruno Dias da Costa |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 21/13780-0 - Controle tolerante a falhas para computação de borda veicular |
| Beneficiário: | Joahannes Bruno Dias da Costa |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Doutorado |