Modelo Estocástico para Avaliação de Desempenho de Hospitais Inteligentes
Abstract
This paper performs analytical modeling to evaluate the performance of an smart hospital architecture, avoiding investment in real equipment. The results show that this work has the potential to assist hospital system administrators in planning more optimized architectures according to their needs.
References
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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.
Published
2019-12-26
How to Cite
RODRIGUES, Laécio Andrade; ENDO, Patricia Takako; DA SILVA, Francisco Airton Pereira.
Modelo Estocástico para Avaliação de Desempenho de Hospitais Inteligentes. In: REGIONAL SCHOOL OF APPLIED COMPUTING FOR HEALTH (ERCAS), 7. , 2019, Teresina.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 7-12.
