Uma Proposta para a Descoberta de Recursos em Computação em Névoa
Resumo
A Computação em Névoa é um paradigma que permite o provisionamento de recursos e serviços computacionais na borda da rede, mais próximos dos dispositivos finais e usuários, com menor latência, complementando a Computação em Nuvem. A heterogeneidade, a alta distribuição geográfica e o grande número de dispositivos são desafios para realizar a descoberta de recursos otimizada neste ambiente. Este artigo apresenta uma proposta para o processo de descoberta de recursos em computação em névoa.Referências
Datta, S. K., Da Costa, R. P. F., and Bonnet, C. (2015). Resource discovery in internet of things: Current trends and future standardization aspects. In 2015 IEEE 2nd world forum on internet of things (WF-IoT), pages 542–547. IEEE.
Goudarzi, P., Rahmani, A. M., and Mosleh, M. (2022). Resource discovery approaches in cloudiot: a systematic review. The Journal of Supercomputing, pages 1–29.
Jin, W. and Kim, D. (2018). Consistent registration and discovery scheme for devices and web service providers based on raml using embedded rd in ocf iot network. Sustainability, 10(12):4706.
Jr., J. B., Costa, B., Carvalho, L. R., Rosa, M. J. F., and Araujo, A. (2023). Computational resource allocation in fog computing: A comprehensive survey. ACM Comput. Surv. Just Accepted.
Katoh, N. and Ibaraki, T. (1998). Resource allocation problems. In Handbook of combinatorial optimization, pages 905–1006. Springer.
Khalil, K., Elgazzar, K., Seliem, M., and Bayoumi, M. (2020). Resource discovery techniques in the internet of things: a review. Internet of Things, 12:100293.
Masip, X., Marín, E., Garcia, J., and Sànchez, S. (2020). Collaborative mechanism for hybrid fog-cloud scenarios. Fog and Fogonomics: Challenges and Practices of Fog Computing, Communication, Networking, Strategy, and Economics, pages 7–60.
Naha, R. K., Garg, S., Georgakopoulos, D., Jayaraman, P. P., Gao, L., Xiang, Y., and Ranjan, R. (2018). Fog computing: Survey of trends, architectures, requirements, and research directions. IEEE Access, 6:47980–48009.
Toczé, K. and Nadjm-Tehrani, S. (2018). A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing, 2018.
Zhang, L., Afanasyev, A., Burke, J., Jacobson, V., Claffy, K., Crowley, P., Papadopoulos, C., Wang, L., and Zhang, B. (2014). Named data networking. ACM SIGCOMM Computer Communication Review, 44(3):66–73.
Goudarzi, P., Rahmani, A. M., and Mosleh, M. (2022). Resource discovery approaches in cloudiot: a systematic review. The Journal of Supercomputing, pages 1–29.
Jin, W. and Kim, D. (2018). Consistent registration and discovery scheme for devices and web service providers based on raml using embedded rd in ocf iot network. Sustainability, 10(12):4706.
Jr., J. B., Costa, B., Carvalho, L. R., Rosa, M. J. F., and Araujo, A. (2023). Computational resource allocation in fog computing: A comprehensive survey. ACM Comput. Surv. Just Accepted.
Katoh, N. and Ibaraki, T. (1998). Resource allocation problems. In Handbook of combinatorial optimization, pages 905–1006. Springer.
Khalil, K., Elgazzar, K., Seliem, M., and Bayoumi, M. (2020). Resource discovery techniques in the internet of things: a review. Internet of Things, 12:100293.
Masip, X., Marín, E., Garcia, J., and Sànchez, S. (2020). Collaborative mechanism for hybrid fog-cloud scenarios. Fog and Fogonomics: Challenges and Practices of Fog Computing, Communication, Networking, Strategy, and Economics, pages 7–60.
Naha, R. K., Garg, S., Georgakopoulos, D., Jayaraman, P. P., Gao, L., Xiang, Y., and Ranjan, R. (2018). Fog computing: Survey of trends, architectures, requirements, and research directions. IEEE Access, 6:47980–48009.
Toczé, K. and Nadjm-Tehrani, S. (2018). A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. Wireless Communications and Mobile Computing, 2018.
Zhang, L., Afanasyev, A., Burke, J., Jacobson, V., Claffy, K., Crowley, P., Papadopoulos, C., Wang, L., and Zhang, B. (2014). Named data networking. ACM SIGCOMM Computer Communication Review, 44(3):66–73.
Publicado
24/08/2023
Como Citar
BACHIEGA JR., João; ARAÚJO, Aletéia P. F..
Uma Proposta para a Descoberta de Recursos em Computação em Névoa. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DO CENTRO-OESTE (ERAD-CO), 6. , 2023, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
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p. 1-4.
DOI: https://doi.org/10.5753/eradco.2023.234172.
