Avaliação de Desempenho de uma Arquitetura de Sistema de Monitoramento de Pacientes em Hospitais Inteligentes com Fontes de Dados Interna e Externa
Resumo
A variedade de tipos de sensores para monitoramento de saúde ajuda na tomada de decisão por profissionais da área. Para determinados quadros clínicos é interessante o monitoramento da saúde do paciente pós alta. Dispositivos vestíveis de monitoramento de saúde (como smartwatches) podem ser utilizados para enviar dados para o hospital. No entanto, para o monitoramento de um grande número de pacientes (externos e internos), é necessária uma infraestrutura computacional resiliente e de alto desempenho. Tais características exigem equipamentos de alto custo monetário. Para ajudar a planejar tal infraestrutura, este artigo apresenta um modelo SPN (Stochastic Petri Network) para avaliação de desempenho de uma arquitetura de sistema hospitalar multicamadas (edge-fog-cloud). O modelo permite avaliar o tempo médio de resposta (MRT), nível de utilização de recursos (U) e probabilidade de perda de dados (DP). Uma característica bem específica é considerar duas fontes de dados (interna e externa). Como estudo de caso foi analisado o impacto da variação do número de contêineres (de 5 à 100) para processamento simultâneo na nuvem. O resultado mostrou-se semelhante com capacidades 50, 75 e 100 contêineres, com MRT abaixo de 25 segundos. Para a capacidade 5 e 25 contêineres, o MRT passou de 150 segundos.
Referências
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Nguyen, T. A., Fe, I., Brito, C., Kaliappan, V. K., Choi, E., Min, D., Lee, J. W., and Silva, F. A. (2021). Performability evaluation of load balancing and fail-over strategies for medical information systems with edge/fog computing using stochastic reward nets. Sensors, 21(18):6253.
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Santos, G. L., Gomes, D., Silva, F. A., Endo, P. T., and Lynn, T. (2022). Maximising the availability of an internet of medical things system using surrogate models and nature-inspired approaches. International Journal of Grid and Utility Computing, 13(2-3):291–308.
Santos, L., Cunha, B., Fé, I., Vieira, M., and Silva, F. A. (2021). Data processing on edge and cloud: a performability evaluation and sensitivity analysis. Journal of Network and Systems Management, 29(3):1–24.
Silva, F. A., Brito, C., Araújo, G., Fé, I., Tyan, M., Lee, J.-W., Nguyen, T. A., and Maciel, P. R. M. (2022). Model-driven impact quantification of energy resource redundancy and server rejuvenation on the dependability of medical sensor networks in smart hospitals. Sensors, 22(4):1595.
Silva, F. A., Nguyen, T. A., Fé, I., Brito, C., Min, D., and Lee, J.-W. (2021). Performance evaluation of an internet of healthcare things for medical monitoring using m/m/c/k queuing models. IEEE Access, 9:55271–55283.
Singh, R. P., Javaid, M., Haleem, A., and Suman, R. (2020). Internet of things (iot) applications to fight against covid-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews.
Uslu, B. Ç., Okay, E., and Dursun, E. (2020). Analysis of factors affecting iot-based smart hospital design. Journal of Cloud Computing, 9(1):1–23.
Yassein, M. B., Hmeidi, I., Al-Harbi, M., Mrayan, L., Mardini, W., and Khamayseh, Y. (2019). Iot-based healthcare systems: a survey. In Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, pages 1–9.
Araujo, J., Silva, B., Oliveira, D., and Maciel, P. (2014). Dependability evaluation of a mhealth system using a mobile cloud infrastructure. In 2014 IEEE international conference on systems, man, and cybernetics (SMC), pages 1348–1353. IEEE.
Brito, C., Rodrigues, L., Santos, B., Fé, I., Nguyen, T.-A., Min, D., Lee, J.-W., and Silva, F. A. (2021). Stochastic model driven performance and availability planning for a mobile edge computing system. Applied Sciences, 11(9):4088.
Chen, X., Thomas, N., and Harrison, M. (2011). Performance evaluation of scheduling policies in a smart hospital environment. In 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pages 585–592. IEEE.
Costa, I., Araujo, J., Dantas, J., Campos, E., Silva, F. A., and Maciel, P. (2016). Availability evaluation and sensitivity analysis of a mobile backend-as-a-service platform. Quality and Reliability Engineering International, 32(7):2191–2205.
Gomez-Sacristan, A., Rodriguez-Hernandez, M. A., and Sempere, V. (2015). Evaluation of quality of service in smart-hospital communications. Journal of Medical Imaging and Health Informatics, 5(8):1864–1869.
Huang, D. Y., Apthorpe, N., Li, F., Acar, G., and Feamster, N. (2020). Iot inspector: Crowdsourcing labeled network traffic from smart home devices at scale. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(2):1–21.
Kaur, M., Malhotra, J., and Kaur, P. D. (2020). A vanet-iot based accident detection and management system for the emergency rescue services in a smart city. In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), pages 964–968. IEEE.
Khayal, I. S. and Farid, A. M. (2021). A dynamic system model for personalized healthcare delivery and managed individual health outcomes. IEEE Access, 9:138267–138282.
Little, J. D. (1961). A proof for the queuing formula: L= λ w. Operations research, 9(3):383–387.
Maciel, P., Matos, R., Silva, B., Figueiredo, J., Oliveira, D., Fé, I., Maciel, R., and Dantas, J. (2017). Mercury: Performance and dependability evaluation of systems with exponential, expolynomial, and general distributions. In 2017 IEEE 22nd Pacific Rim international symposium on dependable computing (PRDC), pages 50–57. IEEE.
Ndiaye, M., Oyewobi, S. S., Abu-Mahfouz, A. M., Hancke, G. P., Kurien, A. M., and Djouani, K. (2020). Iot in the wake of covid-19: A survey on contributions, challenges and evolution. IEEE Access, 8:186821–186839.
Nguyen, T. A., Fe, I., Brito, C., Kaliappan, V. K., Choi, E., Min, D., Lee, J. W., and Silva, F. A. (2021). Performability evaluation of load balancing and fail-over strategies for medical information systems with edge/fog computing using stochastic reward nets. Sensors, 21(18):6253.
Rajasekaran, M., Yassine, A., Hossain, M. S., Alhamid, M. F., and Guizani, M. (2019). Autonomous monitoring in healthcare environment: Reward-based energy charging mechanism for iomt wireless sensing nodes. Future Generation Computer Systems, 98:565–576.
Rodrigues, L., Gonçalves, I., Fé, I., Endo, P. T., and Silva, F. A. (2021). Performance and availability evaluation of an smart hospital architecture. Computing, 103(10):2401–2435.
Santos, G. L., Gomes, D., Silva, F. A., Endo, P. T., and Lynn, T. (2022). Maximising the availability of an internet of medical things system using surrogate models and nature-inspired approaches. International Journal of Grid and Utility Computing, 13(2-3):291–308.
Santos, L., Cunha, B., Fé, I., Vieira, M., and Silva, F. A. (2021). Data processing on edge and cloud: a performability evaluation and sensitivity analysis. Journal of Network and Systems Management, 29(3):1–24.
Silva, F. A., Brito, C., Araújo, G., Fé, I., Tyan, M., Lee, J.-W., Nguyen, T. A., and Maciel, P. R. M. (2022). Model-driven impact quantification of energy resource redundancy and server rejuvenation on the dependability of medical sensor networks in smart hospitals. Sensors, 22(4):1595.
Silva, F. A., Nguyen, T. A., Fé, I., Brito, C., Min, D., and Lee, J.-W. (2021). Performance evaluation of an internet of healthcare things for medical monitoring using m/m/c/k queuing models. IEEE Access, 9:55271–55283.
Singh, R. P., Javaid, M., Haleem, A., and Suman, R. (2020). Internet of things (iot) applications to fight against covid-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews.
Uslu, B. Ç., Okay, E., and Dursun, E. (2020). Analysis of factors affecting iot-based smart hospital design. Journal of Cloud Computing, 9(1):1–23.
Yassein, M. B., Hmeidi, I., Al-Harbi, M., Mrayan, L., Mardini, W., and Khamayseh, Y. (2019). Iot-based healthcare systems: a survey. In Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, pages 1–9.
Publicado
06/08/2023
Como Citar
ROCHA, Francisco M. S.; SANTOS, Lucas Vinícius S. dos; SILVA, Francisco Airton.
Avaliação de Desempenho de uma Arquitetura de Sistema de Monitoramento de Pacientes em Hospitais Inteligentes com Fontes de Dados Interna e Externa. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 22. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 73-84.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2023.230079.
