Uma Proposta para a Descoberta de Recursos em Computação em Névoa
Abstract
Fog Computing is a paradigm that allows the provisioning of computing resources and services at the edge of the network, closer to end devices and users, with lower latency, complementing Cloud Computing. The heterogeneity, the high geographic distribution and the large number of devices are challenges to perform optimized resource discovery in this environment. This article presents a proposal for the resource discovery process in fog computing.References
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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.
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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.
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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.
Published
2023-08-24
How to Cite
BACHIEGA JR., João; ARAÚJO, Aletéia P. F..
Uma Proposta para a Descoberta de Recursos em Computação em Névoa. In: REGIONAL HIGH PERFORMANCE SCHOOL OF THE MIDWEST (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.
