Elasticidade de Containers em VANETs: Uma Estratégia de Sustentabilidade Energética em RSUs
Resumo
Este artigo propõe um modelo de desempenho energético baseado em Redes de Petri Estocásticas (SPNs), que utiliza um sistema de autoscaling dinâmico para ajustar automaticamente a capacidade das RSUs, reduzindo desperdícios de energia sem comprometer a qualidade do serviço. A solução também inclui mecanismos de reinstanciação para lidar com falhas e garantir resiliência operacional. Os resultados mostram configurações eficientes resultaram em uma melhoria de até 25% na eficiência energética. Enquanto a alocação dinâmica adequada possibilitou reduzir o desperdício computacional sem afetar a escalabilidade, podendo tornar redes veiculares mais sustentáveis e eficientes.Referências
Agarwal, S., Das, A., and Das, N. (2016). An efficient approach for load balancing in vehicular ad-hoc networks. In 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pages 1–6.
AlMarshoud, M., Sabir Kiraz, M., and H. Al-Bayatti, A. (2024). Security, privacy, and decentralized trust management in vanets: a review of current research and future directions. ACM Computing Surveys, 56(10):1–39.
Elhoseny, M., El-Hasnony, I. M., and Tarek, Z. (2023). Intelligent energy aware optimization protocol for vehicular adhoc networks. Scientific Reports, 13(1):9019.
Elhoseny, M. and Shankar, K. (2020). Energy efficient optimal routing for communication in vanets via clustering model. Emerging technologies for connected internet of vehicles and intelligent transportation system networks: Emerging technologies for connected and smart vehicles, pages 1–14.
Fé, I., Matos, R., Dantas, J., Melo, C., Nguyen, T. A., Min, D., Choi, E., Silva, F. A., and Maciel, P. R. M. (2022). Performance-cost trade-off in auto-scaling mechanisms for cloud computing. Sensors, 22(3):1221.
Feitosa, L., Rego, P. A., and Silva, F. A. (2023). Avaliaçao de desempenho de migraçao ao vivo de contêineres com redes de petri estocásticas. In Anais do XXIV Workshop de Testes e Tolerância a Falhas, pages 94–107. SBC.
Haider, S. E., Khan, M. F., and Saeed, Y. (2024). Adaptive load balancing approach to mitigate network congestion in vanets. Computers, 13(8).
Maciel, P., Matos, R., Silva, B., Figueiredo, J., Oliveira, D., Fé, I., Maciel, R., and Dantas, J. (2017). Mercury: Performance and dependability evaluation of systems with exponential, expolynomial, and general distributions. In 2017 IEEE 22nd Pacific Rim international symposium on dependable computing (PRDC), pages 50–57. IEEE.
Mehta, T. and Mahato, D. P. (2023). Effective scheduling and nature inspired hybrid load balancing in vanets. In 8th International Conference on Computing in Engineering and Technology (ICCET 2023), volume 2023, pages 266–273.
Mohammed, N. A., Almutoki, S. M. M., Mansoor, R., Jaber, A. K., Ghzawi, B. A. H. K. A., and Alsalamy, A. H. (2023). Resource allocation with energy balancing for uavs assisted vanets based intelligent transportation system. In 2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT), pages 282–287.
Parashar, S. and Tiwari, R. (2023). Traffic control and qos improvement analysis in v-to-v and v-to-rsu communication in vanet. In 2023 World Conference on Communication & Computing (WCONF), pages 1–5. IEEE.
Qun, R. and Arefzadeh, S. M. (2021). A new energy-aware method for load balance managing in the fog-based vehicular ad hoc networks (vanet) using a hybrid optimization algorithm. IET Communications, 15(13):1665–1676.
Rajendran, N., Kumar, R. P., Kavitha, T., Jayakumar, T., and Nanammal, V. (2023). Delay-tolerant load balancing routing model for rsu-assisted distributed vehicular adhoc networks. In 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pages 1–7.
Raza, A., Bukhari, S. H. R., Aadil, F., and Iqbal, Z. (2021). An uav-assisted vanet architecture for intelligent transportation system in smart cities. International Journal of Distributed Sensor Networks, 17(7):15501477211031750.
Santos, L., Brito, C., Fé, I., Carvalho, J., Torquato, M., Choi, E., Min, D., Lee, J.-W., Nguyen, T. A., and Silva, F. A. (2024). Event-based moving target defense in cloud computing with vm migration: A performance modeling approach. IEEE Access.
SERPRO (2023). Registro nacional de acidentes e estatísticas de trânsito. [link]. Acesso em: 28 nov. 2024.
Sethi, V., Pal, S., and Vyas, A. (2020). Online energy-efficient scheduling algorithm for renewable energy-powered roadside units in vanets. In 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), pages 506–514.
Silva, L., Brito, C., Cardoso, I., Sabino, A., Lima, L., Gonçalves, G., Filho, G. R., Fé, I., and Silva, F. (2024). Desvendando a elasticidade de máquinas virtuais em vanets: Uma estratégia para aperfeiçoar o planejamento de capacidade em rsus. In Anais do XLII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 169–182, Porto Alegre, RS, Brasil. SBC.
Silva, L. G., Cardoso, I., Brito, C., Barbosa, V., Nogueira, B., Choi, E., Nguyen, T. A., Min, D., Lee, J. W., and Silva, F. A. (2023). Urban advanced mobility dependability: A model-based quantification on vehicular ad hoc networks with virtual machine migration. Sensors, 23(23):9485.
Wu, T.-Y., Obaidat, M. S., and Chan, H.-L. (2015). Qualityscan scheme for load balancing efficiency in vehicular ad hoc networks (vanets). Journal of Systems and Software, 104:60–68.
Wu, Y., Wu, J., Chen, L., Yan, J., and Han, Y. (2022). Load balance guaranteed vehicle-to-vehicle computation offloading for min-max fairness in vanets. IEEE Transactions on Intelligent Transportation Systems, 23(8):11994–12013.
AlMarshoud, M., Sabir Kiraz, M., and H. Al-Bayatti, A. (2024). Security, privacy, and decentralized trust management in vanets: a review of current research and future directions. ACM Computing Surveys, 56(10):1–39.
Elhoseny, M., El-Hasnony, I. M., and Tarek, Z. (2023). Intelligent energy aware optimization protocol for vehicular adhoc networks. Scientific Reports, 13(1):9019.
Elhoseny, M. and Shankar, K. (2020). Energy efficient optimal routing for communication in vanets via clustering model. Emerging technologies for connected internet of vehicles and intelligent transportation system networks: Emerging technologies for connected and smart vehicles, pages 1–14.
Fé, I., Matos, R., Dantas, J., Melo, C., Nguyen, T. A., Min, D., Choi, E., Silva, F. A., and Maciel, P. R. M. (2022). Performance-cost trade-off in auto-scaling mechanisms for cloud computing. Sensors, 22(3):1221.
Feitosa, L., Rego, P. A., and Silva, F. A. (2023). Avaliaçao de desempenho de migraçao ao vivo de contêineres com redes de petri estocásticas. In Anais do XXIV Workshop de Testes e Tolerância a Falhas, pages 94–107. SBC.
Haider, S. E., Khan, M. F., and Saeed, Y. (2024). Adaptive load balancing approach to mitigate network congestion in vanets. Computers, 13(8).
Maciel, P., Matos, R., Silva, B., Figueiredo, J., Oliveira, D., Fé, I., Maciel, R., and Dantas, J. (2017). Mercury: Performance and dependability evaluation of systems with exponential, expolynomial, and general distributions. In 2017 IEEE 22nd Pacific Rim international symposium on dependable computing (PRDC), pages 50–57. IEEE.
Mehta, T. and Mahato, D. P. (2023). Effective scheduling and nature inspired hybrid load balancing in vanets. In 8th International Conference on Computing in Engineering and Technology (ICCET 2023), volume 2023, pages 266–273.
Mohammed, N. A., Almutoki, S. M. M., Mansoor, R., Jaber, A. K., Ghzawi, B. A. H. K. A., and Alsalamy, A. H. (2023). Resource allocation with energy balancing for uavs assisted vanets based intelligent transportation system. In 2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT), pages 282–287.
Parashar, S. and Tiwari, R. (2023). Traffic control and qos improvement analysis in v-to-v and v-to-rsu communication in vanet. In 2023 World Conference on Communication & Computing (WCONF), pages 1–5. IEEE.
Qun, R. and Arefzadeh, S. M. (2021). A new energy-aware method for load balance managing in the fog-based vehicular ad hoc networks (vanet) using a hybrid optimization algorithm. IET Communications, 15(13):1665–1676.
Rajendran, N., Kumar, R. P., Kavitha, T., Jayakumar, T., and Nanammal, V. (2023). Delay-tolerant load balancing routing model for rsu-assisted distributed vehicular adhoc networks. In 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pages 1–7.
Raza, A., Bukhari, S. H. R., Aadil, F., and Iqbal, Z. (2021). An uav-assisted vanet architecture for intelligent transportation system in smart cities. International Journal of Distributed Sensor Networks, 17(7):15501477211031750.
Santos, L., Brito, C., Fé, I., Carvalho, J., Torquato, M., Choi, E., Min, D., Lee, J.-W., Nguyen, T. A., and Silva, F. A. (2024). Event-based moving target defense in cloud computing with vm migration: A performance modeling approach. IEEE Access.
SERPRO (2023). Registro nacional de acidentes e estatísticas de trânsito. [link]. Acesso em: 28 nov. 2024.
Sethi, V., Pal, S., and Vyas, A. (2020). Online energy-efficient scheduling algorithm for renewable energy-powered roadside units in vanets. In 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), pages 506–514.
Silva, L., Brito, C., Cardoso, I., Sabino, A., Lima, L., Gonçalves, G., Filho, G. R., Fé, I., and Silva, F. (2024). Desvendando a elasticidade de máquinas virtuais em vanets: Uma estratégia para aperfeiçoar o planejamento de capacidade em rsus. In Anais do XLII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 169–182, Porto Alegre, RS, Brasil. SBC.
Silva, L. G., Cardoso, I., Brito, C., Barbosa, V., Nogueira, B., Choi, E., Nguyen, T. A., Min, D., Lee, J. W., and Silva, F. A. (2023). Urban advanced mobility dependability: A model-based quantification on vehicular ad hoc networks with virtual machine migration. Sensors, 23(23):9485.
Wu, T.-Y., Obaidat, M. S., and Chan, H.-L. (2015). Qualityscan scheme for load balancing efficiency in vehicular ad hoc networks (vanets). Journal of Systems and Software, 104:60–68.
Wu, Y., Wu, J., Chen, L., Yan, J., and Han, Y. (2022). Load balance guaranteed vehicle-to-vehicle computation offloading for min-max fairness in vanets. IEEE Transactions on Intelligent Transportation Systems, 23(8):11994–12013.
Publicado
20/07/2025
Como Citar
SILVA, Luis Guilherme; CARDOSO, Israel; BARBOSA, Vandirleya; ALVES, Melissa; FEITOSA, Leonel; REGO, Paulo A. L.; SILVA, Francisco Airton.
Elasticidade de Containers em VANETs: Uma Estratégia de Sustentabilidade Energética em RSUs. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 16. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 147-156.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2025.8406.
