IoT Entity Management System (IoTEMS): Um Sistema de Gerenciamento de Entidades IoT
Resumo
As Aplicações Inteligentes são implementadas em arquiteturas distribuídas e precisam lidar com um grande volume de dados, vindos de fontes distintas e com formatos diferentes. A manipulação adequada desses dados por parte dos muitos componentes de hardware e software que essa arquitetura distribuída pode possuir, depende de um controle de acesso eficiente, para que a integridade e consistência dos dados seja mantida. O objetivo deste artigo é apresentar o IoTEMS IoT Entity Management System, uma aplicação responsável pela manipulação dos dados do FIWARE, que opera no formato NGSI-LD, em entidades que compõem os cenários das Aplicações Inteligentes. Para validar a proposta foi utilizada a Plataforma SWAMP, que atua em cenários de irrigação de precisão. Os resultados mostraram que a centralização da manipulação das entidades usando o IoTEMS garantiu a integridade e consistência dos dados.Referências
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Tzounis, A., Katsoulas, N., Bartzanas, T., and Kittas, C. (2017). Internet of things in agriculture, recent advances and future challenges. Biosystems Engineering, 164:31–48.
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Bachmann, F., Bass, L., Clements, P., Garlan, D., Ivers, J., Little, M., Merson, P., Nord, R., and Stafford, J. (2010). Documenting Software Architectures: Views and Beyond. Addison-Wesley Professional, second edition.
da Cruz, M. A., Rodrigues, J. J., Sangaiah, A. K., Al-Muhtadi, J., and Korotaev, V. (2018). Performance evaluation of iot middleware. Journal of Network and Computer Applications, 109:53–65.
Islam, S. R., Kwak, D., Kabir, M. H., Hossain, M., and Kwak, K.-S. (2015). The internet of things for health care: a comprehensive survey. IEEE access, 3:678–708.
Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., and Torre Neto, A. (2019). Smart water management platform: Iot-based precision irrigation for agriculture. Sensors, 19(2):276.
Khan, R., Khan, S. U., Zaheer, R., and Khan, S. (2012). Future internet: the internet of things architecture, possible applications and key challenges. In 2012 10th international conference on frontiers of information technology, pages 257–260. IEEE.
Pallavi, S., Mallapur, J. D., and Bendigeri, K. Y. (2017). Remote sensing and controlling of greenhouse agriculture parameters based on iot. In 2017 International Conference on Big Data, IoT and Data Science (BID), pages 44–48. IEEE.
Rodriguez, M. A., Cuenca, L., and Ortiz, A. (2018). Fiware open source standard platform in smart farming-a review. In Working Conference on Virtual Enterprises, pages 581– 589. Springer.
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., and Gidlund, M. (2018). Industrial internet of things: Challenges, opportunities, and directions. IEEE Transactions on Industrial Informatics, 14(11):4724–4734.
Tzounis, A., Katsoulas, N., Bartzanas, T., and Kittas, C. (2017). Internet of things in agriculture, recent advances and future challenges. Biosystems Engineering, 164:31–48.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., and Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal, 1(1):22–32.
Zyrianoff, I., Heideker, A., Silva, D., Kleinschmidt, J., Soininen, J.-P., Salmon Cinotti, T., and Kamienski, C. (2020). Architecting and deploying iot smart applications: A performance–oriented approach. Sensors, 20(1):84.
Publicado
16/08/2021
Como Citar
BIONDI, Gabriela; BORELLI, Fabrizio; OTTOLINI, Dener; KAMIENSKI, Carlos.
IoT Entity Management System (IoTEMS): Um Sistema de Gerenciamento de Entidades IoT. In: SALÃO DE FERRAMENTAS - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 39. , 2021, Uberlândia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 17-24.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc_estendido.2021.17149.
