Availability Assessment of Internet of Medical Things Architecture using Private Cloud

• Thiago Valentim UFPE
• Gustavo Callou UFRPE
• Alison Vinicius UFRPE
• Cleunio França UFPE
• Eduardo Tavares UFPE

DOI: https://doi.org/10.5753/semish.2023.229386

Resumo

Investments in smart health applications are expected to rise to US$ 960 billion by 2030, and Internet of Things (IoT) have a prominent role in implementing such applications. For instance, hospitals have adopted IoT to collect and transmit patient data to health professionals, as critical patients must be monitored uninterruptedly. Therefore, health systems commonly require high availability, but availability assessment of health systems’ architecture is not a common approach. This paper presents a modeling approach based on generalized stochastic Petri nets (GSPN) to evaluate the availability of Internet of Medical Things (IoMT) architecture based on a private cloud. A case study is adopted to demonstrate the feasibility of the proposed approach.

Referências

Askar, N. A., Habbal, A., Mohammed, A. H., Sajat, M. S., Yusupov, Z., and Kodirov, D. (2022). Architecture, protocols, and applications of the internet of medical things (iomt). Journal of Communications, 17(11).

Balbo, G. (2001). Introduction to stochastic petri nets. Lectures on Formal Methods and PerformanceAnalysis: First EEF/Euro Summer School on Trends in Computer Science Bergen Dal, The Netherlands, July 3–7, 2000 Revised Lectures 1, pages 84–155.

Dilibal, Ç. (2020). Development of edge-iomt computing architecture for smart healthcare monitoring platform. In 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pages 1–4. IEEE.

Gokhale, P., Bhat, O., and Bhat, S. (2018). Introduction to iot. International Advanced Research Journal in Science, Engineering and Technology, 5(1):41–44.

Healthcare (2022). Internet of things in healthcare market.

Jara, A. J., Zamora, M. A., and Skarmeta, A. F. (2009). An architecture for ambient assisted living and health environments. In International Work-Conference on Artificial Neural Networks, pages 882–889. Springer.

Joyia, G. J., Liaqat, R. M., Farooq, A., and Rehman, S. (2017). Internet of medical things (iomt): Applications, benefits and future challenges in healthcare domain. J. Commun., 12(4):240–247.

Kim, D. S., Machida, F., and Trivedi, K. S. (2009). Availability modeling and analysis of a virtualized system. In 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing, pages 365–371. IEEE.

Macedo, D., Guedes, L. A., and Silva, I. (2014). A dependability evaluation for internet of things incorporating redundancy aspects. In Proceedings of the 11th IEEE international conference on networking, sensing and control, pages 417–422. IEEE.

Maciel, P. R. M. (2022). Performance, reliability, and availability evaluation of computational systems, volume I: performance and background. Chapman and Hall/CRC.

Montgomery, D. C. and Runger, G. C. (2010). Applied statistics and probability for engineers. John wiley & sons.

Murata, T. (1989). Petri nets: Properties, analysis and applications. Proceedings of the IEEE, 77(4):541–580.

Nguyen, T. A., Fe, I., Brito, C., Kaliappan, V. K., Choi, E., Min, D., Lee, J. W., and Silva, F. A. (2021a). 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.

Nguyen, T. A., Min, D., Choi, E., and Lee, J.-W. (2021b). Dependability and security quantification of an internet of medical things infrastructure based on cloud-fog-edge continuum for healthcare monitoring using hierarchical models. IEEE Internet of Things Journal, 8(21):15704–15748.

productreliability (2022). Tips for predicting product reliability.

Rahmani, A. M. and Hosseini Mirmahaleh, S. Y. (2022). Flexible-clustering based on application priority to improve iomt efficiency and dependability. Sustainability, 14(17):10666.

Ramson, S. and Moni, D. J. (2016). A case study on different wireless networking technologies for remote health care. Intelligent Decision Technologies, 10(4):353–364.

Razdan, S. and Sharma, S. (2021). Internet of medical things (iomt): overview, emerging technologies, and case studies. IETE Technical Review, pages 1–14.

Santos, G. L., Gomes, D., Kelner, J., Sadok, D., Silva, F. A., Endo, P. T., and Lynn, T. (2020). The internet of things for healthcare: Optimising e-health system availability in the fog and cloud. International Journal of Computational Science and Engineering, 21(4):615–628.

Sefraoui, O., Aissaoui, M., Eleuldj, M., et al. (2012). Openstack: toward an open-source solution for cloud computing. International Journal of Computer Applications, 55(3):38–42.

Silva, B., Callou, G., Tavares, E., Maciel, P., Figueiredo, J., Sousa, E., Araujo, C., Magnani, F., and Neves, F. (2013). Astro: An integrated environment for dependability and sustainability evaluation. Sustainable computing: informatics and systems, 3(1):1–17.

Tang, D., Kumar, D., Duvur, S., and Torbjornsen, O. (2004). Availability measurement and modeling for an application server. In International Conference on Dependable Systems and Networks, 2004, pages 669–678. IEEE.

Tang, S. and Xie, Y. (2021). Availability modeling and performance improving of a healthcare internet of things (iot) system. IoT, 2(2):310–325.

Uddin, M. A., Stranieri, A., Gondal, I., and Balasubramanian, V. (2018). Continuous patient monitoring with a patient centric agent: A block architecture. IEEE Access, 6:32700–32726.

Vishnu, S., Ramson, S. J., and Jegan, R. (2020). Internet of medical things (iomt)an overview. In 2020 5th international conference on devices, circuits and systems (ICDCS), pages 101–104. IEEE.

Wamba, S. F., Anand, A., and Carter, L. (2013). A literature review of rfid-enabled healthcare applications and issues. International Journal of Information Management, 33(5):875–891.