Sharding para Acesso Rápido a Dados Móveis e Distribuídos: Uma Aplicação para Smart Cities com Fog Computing
Resumo
Sharding é uma estratégia de armazenamento de dados distribuídos em uma arquitetura horizontal. Dessa maneira, essa prática tem um enorme potencial de reduzir a latência no acesso de dados distribuídos em cidades inteligentes. Nessa pesquisa, trazemos uma implementação de Sharding para ser a base prática de uma arquitetura de armazenamento distribuído e rastreabilidade de dados através de Fog Computing para Smart Cities.Referências
Kudo, T. (2018). Fog computing with distributed database. In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), pages 623–630.
Lai, C. S., Jia, Y., Dong, Z., Wang, D., Tao, Y., Lai, Q. H., Wong, R. T. K., Zobaa, A. F., Wu, R., and Lai, L. L. (2020). A review of technical standards for smart cities. Clean Technologies, 2(3):290–310.
Naeem, R. Z., Bashir, S., Amjad, M. F., Abbas, H., and Afzal, H. (2019). Fog computing in internet of things: Practical applications and future directions.
Sasubilli, S. M., Kumar, A., and Dutt, V. (2020). Improving health care by help of internet of things and bigdata analytics and cloud computing. In 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE), pages 1–4.
Shwe, H. Y., Jet, T. K., and Chong, P. H. J. (2016). An iot-oriented data storage framework in smart city applications. In 2016 International Conference on Information and Communication Technology Convergence (ICTC), pages 106–108.
Sinaeepourfard, A., Garcia, J., Masip-Bruin, X., and Marin-Tordera, E. (2018). Data preservation through fog-to-cloud (f2c) data management in smart cities. In 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), pages 1–9.
Vilela, P. H., Rodrigues, J. J. P. C., Righi, R. d. R., Kozlov, S., and Rodrigues, V. F. (2020). Looking at fog computing for e-health through the lens of deployment challenges and applications. Sensors, 20(9).
Lai, C. S., Jia, Y., Dong, Z., Wang, D., Tao, Y., Lai, Q. H., Wong, R. T. K., Zobaa, A. F., Wu, R., and Lai, L. L. (2020). A review of technical standards for smart cities. Clean Technologies, 2(3):290–310.
Naeem, R. Z., Bashir, S., Amjad, M. F., Abbas, H., and Afzal, H. (2019). Fog computing in internet of things: Practical applications and future directions.
Sasubilli, S. M., Kumar, A., and Dutt, V. (2020). Improving health care by help of internet of things and bigdata analytics and cloud computing. In 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE), pages 1–4.
Shwe, H. Y., Jet, T. K., and Chong, P. H. J. (2016). An iot-oriented data storage framework in smart city applications. In 2016 International Conference on Information and Communication Technology Convergence (ICTC), pages 106–108.
Sinaeepourfard, A., Garcia, J., Masip-Bruin, X., and Marin-Tordera, E. (2018). Data preservation through fog-to-cloud (f2c) data management in smart cities. In 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), pages 1–9.
Vilela, P. H., Rodrigues, J. J. P. C., Righi, R. d. R., Kozlov, S., and Rodrigues, V. F. (2020). Looking at fog computing for e-health through the lens of deployment challenges and applications. Sensors, 20(9).
Publicado
18/04/2022
Como Citar
FERREIRA, Daniel Lopes; RIGHI, Rodrigo da Rosa.
Sharding para Acesso Rápido a Dados Móveis e Distribuídos: Uma Aplicação para Smart Cities com Fog Computing. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DA REGIÃO SUL (ERAD-RS), 22. , 2022, Curitiba.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 41-44.
ISSN 2595-4164.
DOI: https://doi.org/10.5753/eradrs.2022.19156.
