Autor(es)

da Costa, Joahannes B. D. ; Meneguette, Rodolfo I. ; Rosario, Denis ; Villas, Leandro A.

• Tipo de documento: Artigo Científico
• Fonte: 2020 IEEE 91ST VEHICULAR TECHNOLOGY CONFERENCE, VTC2020-SPRING; v. N/A, p. 5-pg., 2020-01-01.

Resumo

The automotive industry has been continuously investing in the modernization of the vehicles by the addition of more sensors and computational power. With this evolution, Intelligent Transportation Systems (ITS) make up a services framework that seeks to mitigate problems in the road sector. Many ITS services are facilitated by creating vehicular clouds (VCs) by using the communication capabilities of other vehicles to provide cloud services closer to vehicular applications. However, often the computational resources present in the vehicles are underutilized. For this reason, we propose in this work a mechanism that efficiently allocates computational tasks to be performed in VCs. Simulation results on a realistic mobility trace show that, with our mechanism, tasks are more allocated, the reward from allocating these tasks was higher, resource waste was minimized, and less CPU is used in the allocation processing. Also, the proposed mechanism is statistically close to a globally optimal solution. (AU)

• Processo FAPESP: 18/19639-5 - Soluções para sistemas de transporte inteligentes e cooperativos baseados na computação urbana
• Beneficiário: Leandro Aparecido Villas
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• 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