Rumo a cidades mais inteligentes aproveitando o paradigma Fog Computing

Autores

  • Shouddy Tárano León Universidad Tecnológica de La Habana
  • Tatiana Delgado Fernández Universidad Tecnológica de La Habana
  • Alejandro Luar Pérez Colomé Universidad Tecnológica de La Habana

DOI:

https://doi.org/10.18046/syt.v16i45.2756

Palavras-chave:

Névoa computacional; computação em nuvem; cidades inteligentes.

Resumo

O termo fog computing [Computação em neblina ou neblina computacional] ganhou impulso nos últimos anos devido à sua incidência na diminuição da latência que as aplicações da Internet das Coisas [IoT, Internet of Things] têm, as quais demandam respostas em tempo real ou próximo do real, bem como o menor consumo de largura de banda que resulta da resolução de parte do processamento mais próximo dos dispositivos do usuário final. O paradigma da computação em nuvem já não é suficiente. No presente, a necessidade do "dado" e de tomada de decisão instantânea, conduzem, ou de alguma forma descobrem, um novo horizonte que exige uma variante complementar. Este artigo é uma abordagem do conceito de fog computing, juntamente com a análise de sua necessidade de soluções de engenharia no campo da IoT, seu impacto em cidades inteligentes e outros campos de ação e alguns dos seus principais desafios. Ele também oferece um roteiro para implementar um sistema de recomendação de locais de interesse para o viajante com base na fog computing, no âmbito de um projeto de cidades inteligentes em Havana. 

Biografia do Autor

  • Shouddy Tárano León, Universidad Tecnológica de La Habana

    Informatics Engineer, professor in Computing Sciences and senior consultant in information technologies. Specialized in free and open source technologies for a high scale informatics solutions. His scientific production includes: graphs by computer, information’s architecture, smart systems, optimization and high development computing. His working area in focused in informatics systems with a high level of integration and a high level of heterogeneity involving several technology providers including: virtualization, networks, operational systems, security, cloud computing and system’s performance analysis.

  • Tatiana Delgado Fernández, Universidad Tecnológica de La Habana

    Engineer in Automated Systems in Management from former Instituto Politécnico José Antonio Echevarría (Havana, Cuba). She holds a Master’s degree in Optimization and Decision Making, and a Ph.D., in Technical Sciences. She is an associated professor at the Business Information Department of the Universidad Tecnológica de La Habana and Vice President of the Union de Informáticos de Cuba. Her areas of interest are: spatial data infrastructures, Big Data, ontologies, smart cities and IT governance. 

  • Alejandro Luar Pérez Colomé, Universidad Tecnológica de La Habana

    Student of fifth year of Telecommunications and Electronics Engineering at the Universidad Tecnológica de la Habana (Cuba), where he has participated in several scientific working days. His work about the new kinds of telecommunications attacks obtained an award in one of them. He is currently a member of the Telematics Research Group of the University. His interests in research include the Internet of Things, fog computing, Big Data and content distribution networks.

Referências

Abdelshkour, M. (2015). IoT, from cloud to fog computing. Retrieved from: https://blogs.cisco.com/perspectives/iot-from-cloud-to-fog-computing
Akamai Technologies. (2017). Q1 2017 State of the Internet / Connectivity Report. Retrieved from: https://www.akamai.com/us/en/multimedia/documents/state-of-the-internet/q1-2017-state-of-the-internet-connectivity-report.pdf
Arco Research Group (2017, March 12). El papel de la tecnología de lógica reconfigurable como respuesta a los retos del Internet de las Cosas. Retrieved from: https://arcoresearchgroup.wordpress.com/2017/03/12/el-papel-de-la-tecnologia-de-logica-reconfigurable-como-respuesta-a-los-retos-del-internet-de-las-cosas/
Bojanova, I. (2015). What makes up the Internet of Things? Retrieved from: https://www.computer.org/web/sensing-iot/content?g=53926943&type=article&urlTitle=what-are-the-components-of-iot-
Bonomi,F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the Internet of Things. In: Proceedings of the first edition of the MCC Workshop on Mobile Cloud Computing, (pp. 13-16). New York, NY: ACM.
Cardellini, V., Grassi, V., Lo Presti, F., Nardelli, M. (2015). On QoS-aware Scheduling of Data Stream Applications over Fog Computing Infrastructures. In: 2015 IEEE Symposium on Computers and Communication (ISCC), (pp. 271-276). doi:10.1109/ISCC.2015.7405527
Cisco Systems. (2017). Fog computing and the Internet of things: Extend the cloud to where the things are [white paper]. Retrieved from: https://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/computing-overview.pdf
De Fuenmayor, A. (2017, Feb. 20). Cloud computing, ¿el final de una era? [blog ThinkingBig]. Retrieved from: https://aunclicdelastic.blogthinkbig.com/cloud-computing-iot/
Gonzalez, G., Delgado, T., Capote, J. L., & Cruz, R. (2013). Context-aware recommender system based on ontologies. In: H. Onsrud, & A. Rajabifard (Eds.), Spatially enablement in support of economic development and poverty reduction, (pp. 227-243). Reston, VA: GSDI.
Gupta, H., Vahid-Dastjerdi, A., Ghosh, S.K., Buyya, R. (2017). FogSim: A toolkit for modeling and simulation of resource management techniques in internet of things, edge and fog computing environments. Software: Practice and Experience, 47(9), 1275-1296.
Hu, P., Dhelim, S., Ning, H. Qiu, T. (2017). Survey on fog computing: Architecture, key technologies, applications and open issues. Journal of Network and Computer Applications, 98, 27-42.
International Telecommunications Union [ITU]. (25/ 4/2017). The Manizales Manifesto. Retrieved from: https://www.itu.int/en/ITU-T/Workshops-and-Seminars/gsw/201704/Documents/Manifesto-Manizales-05-04-2017-Eng-Final.pdf
Lai, C. F., Song, D. Y., Hwang, R. H., & Lai, Y. X. (2016). A QoS-aware streaming service over fog computing infrastructures. In Digital Media Industry & Academic Forum (DMIAF), (pp. 94-98). IEEE.
Mapped: The world according to Internet connection speeds - Telegraph (2017, April, 9). Retrieved from: http://www.telegraph.co.uk/travel/maps-and-graphics/countries-with-fastest-internet-connection-speeds/
Mohamed, N., Al-Jaroodi, J., Jawhar, I., Lazarova-Molnar, S., & Mahmoud, S. (2017). Smartcityware: A service-oriented middleware for cloud and fog enabled smart city services. IEEE Acces, 5, 17576-17588. doi:r 10.1109/ACCESS.2017.2731382
Varshney, P., & Simmhan, Y. (2017). Demystifying fog computing: Characterizing architectures, applications and abstractions. In Fog and Edge Computing (ICFEC), 2017 IEEE 1st International Conference on (pp. 115-124). IEEE.
Yousefpour, A., Ishigaki, G., & Jue, J. P. (2017). Fog computing: Towards minimizing delay in the internet of things. In Edge Computing (EDGE), 2017 IEEE International Conference on (pp. 17-24). IEEE.

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Publicado

2018-04-01

Edição

v. 16 n. 45: abril - junho, 2018

Seção

Discussion papers

Licença

Esta publicação está licenciada sob os termos da licença CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.pt_BR).