Modelo Estocástico para Avaliação de Desempenho de Hospitais Inteligentes
Resumo
Este trabalho adota a abordagem de modelagem analı́tica para avaliar o desempenho de um sistema hospitalar inteligente, evitando o investimento em equipamentos reais. Os resultados mostram que este trabalho tem o potencial de ajudar os administradores de sistemas hospitalares a planejar arquiteturas mais otimizadas de acordo com suas necessidades.
Referências
Akmandor, A. O. and Jha, N. K. (2018). Smart health care: An edge-side computing perspective. IEEE Consumer Electronics Magazine, 7(1):29–37.
Chen, M., Li, W., Hao, Y., Qian, Y., and Humar, I. (2018). Edge cognitive computing based smart healthcare system. Future Generation Computer Systems, 86:403–411.
Greco, L., Ritrovato, P., and Xhafa, F. (2019). An edge-stream computing infrastructure for real-time analysis of wearable sensors data. Future Generation Computer Systems, 93:515–528.
Little, J. D. and Graves, S. C. (2008). Little’s law. In Building intuition, pages 81–100. Springer.
Oueida, S., Kotb, Y., Aloqaily, M., Jararweh, Y., and Baker, T. (2018). An edge computing based smart healthcare framework for resource management. Sensors, 18(12):4307.
Rahmani, A. M., Gia, T. N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., and Liljeberg, P. (2018). Exploiting smart e-health gateways at the edge of healthcare internet-of-things: A fog computing approach. Future Generation Computer Systems, 78:641–658.
Rahmani, A.-M., Thanigaivelan, N. K., Gia, T. N., Granados, J., Negash, B., Liljeberg, P., and Tenhunen, H. (2015). Smart e-health gateway: Bringing intelligence to internet-of-things based ubiquitous healthcare systems. In 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), pages 826–834. IEEE.
Sigwele, T., Hu, Y. F., Ali, M., Hou, J., Susanto, M., and Fitriawan, H. (2018). An intelligent edge computing based semantic gateway for healthcare systems interoperability and collaboration. In 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), pages 370–376. IEEE.
Tata, S., Jain, R., Ludwig, H., and Gopisetty, S. (2017). Living in the cloud or on the edge: Opportunities and challenges of iot application architecture. In 2017 IEEE International Conference on Services Computing (SCC), pages 220–224. IEEE.
Zhang, H., Li, J., Wen, B., Xun, Y., and Liu, J. (2018). Connecting intelligent things in smart hospitals using nb-iot. IEEE Internet of Things Journal, 5(3):1550–1560.
Chen, M., Li, W., Hao, Y., Qian, Y., and Humar, I. (2018). Edge cognitive computing based smart healthcare system. Future Generation Computer Systems, 86:403–411.
Greco, L., Ritrovato, P., and Xhafa, F. (2019). An edge-stream computing infrastructure for real-time analysis of wearable sensors data. Future Generation Computer Systems, 93:515–528.
Little, J. D. and Graves, S. C. (2008). Little’s law. In Building intuition, pages 81–100. Springer.
Oueida, S., Kotb, Y., Aloqaily, M., Jararweh, Y., and Baker, T. (2018). An edge computing based smart healthcare framework for resource management. Sensors, 18(12):4307.
Rahmani, A. M., Gia, T. N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., and Liljeberg, P. (2018). Exploiting smart e-health gateways at the edge of healthcare internet-of-things: A fog computing approach. Future Generation Computer Systems, 78:641–658.
Rahmani, A.-M., Thanigaivelan, N. K., Gia, T. N., Granados, J., Negash, B., Liljeberg, P., and Tenhunen, H. (2015). Smart e-health gateway: Bringing intelligence to internet-of-things based ubiquitous healthcare systems. In 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), pages 826–834. IEEE.
Sigwele, T., Hu, Y. F., Ali, M., Hou, J., Susanto, M., and Fitriawan, H. (2018). An intelligent edge computing based semantic gateway for healthcare systems interoperability and collaboration. In 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), pages 370–376. IEEE.
Tata, S., Jain, R., Ludwig, H., and Gopisetty, S. (2017). Living in the cloud or on the edge: Opportunities and challenges of iot application architecture. In 2017 IEEE International Conference on Services Computing (SCC), pages 220–224. IEEE.
Zhang, H., Li, J., Wen, B., Xun, Y., and Liu, J. (2018). Connecting intelligent things in smart hospitals using nb-iot. IEEE Internet of Things Journal, 5(3):1550–1560.
Publicado
26/12/2019
Como Citar
RODRIGUES, Laécio Andrade; ENDO, Patricia Takako; DA SILVA, Francisco Airton Pereira.
Modelo Estocástico para Avaliação de Desempenho de Hospitais Inteligentes. In: ESCOLA REGIONAL DE COMPUTAÇÃO APLICADA À SAÚDE (ERCAS), 7. , 2019, Teresina.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 7-12.
