Disaster-FD: Um detector de falhas para ambientes suscetíveis a desastres
Resumo
Este trabalho apresenta o Disaster-FD, um detector de falhas para ambientes suscetíveis a desastres com foco no monitoramento em tempo real de redes IoT. Inspirado no Impact-FD, esta abordagem dá ênfase ao monitoramento ativo e avaliação da confiabilidade da rede. O trabalho explora elementos chaves como limiar de confiabilidade, nível de confiança e fator de impacto. Testes na plataforma IoT-LAB demonstram as funcionalidades do Disaster-FD em ambientes variados, reforçando sua relevância em cenários de desastres naturais.Referências
Adjih, C., Baccelli, E., Fleury, E., Harter, G., Mitton, N., Noel, T., Pissard-Gibollet, R., Saint-Marcel, F., Schreiner, G., Vandaele, J., et al. (2015). FIT IoT-LAB: A large scale open experimental IoT testbed. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pages 459–464. IEEE.
Aguilera, M. K., Delporte-Gallet, C., Fauconnier, H., and Toueg, S. (2004). Communication-efficient leader election and consensus with limited link synchrony. In Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing, pages 328–337.
Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15):2787–2805.
Chandra, T. D., Hadzilacos, V., and Toueg, S. (1996). The weakest failure detector for solving consensus. Journal of the ACM (JACM), 43(4):685–722.
Chandra, T. D. and Toueg, S. (1996). Unreliable failure detectors for reliable distributed systems. Journal of the ACM (JACM), 43(2):225–267.
Chen, W., Toueg, S., and Aguilera, M. K. (2002). On the quality of service of failure detectors. IEEE Transactions on computers, 51(5):561–580.
Cristian, F. and Fetzer, C. (1999). The timed asynchronous distributed system model. IEEE Transactions on Parallel and Distributed Systems, 10(6):642–657.
Fischer, M. J., Lynch, N. A., and Paterson, M. S. (1985). Impossibility of distributed consensus with one faulty process. Journal of the ACM (JACM), 32(2):374–382.
Janoneda, L. (2022). A cada desastre natural no brasil, em média, 3,4 mil pessoas são afetadas. Acessada: 2022-01-09.
Kovatsch, M., Lanter, M., and Shelby, Z. (2014). Californium: Scalable cloud services for the internet of things with coap. In 2014 International Conference on the Internet of Things (IOT), pages 1–6. IEEE.
Rossetto, A. G. d. M., Geyer, C. F., Arantes, L., and Sens, P. (2018). Impact fd: An unreliable failure detector based on process relevance and confidence in the system. The Computer Journal, 61(10):1557–1576.
Sens, P., Arantes, L., Rosseto, A. G. D. M., and Marin, O. (2024). Stab-fd: A cooperative and adaptive failure detector for wide area networks. Journal of Parallel and Distributed Computing, 186.
Verissimo, P. and Rodrigues, L. (2012). Distributed Systems for System Architects, volume 1. Springer Science & Business Media.
Yang, R., Zhu, S., Li, Y., and Gupta, I. (2019). Medley: A novel distributed failure detector for IoT networks. In Proceedings of the 20th International Middleware Conference, pages 319–331.
Aguilera, M. K., Delporte-Gallet, C., Fauconnier, H., and Toueg, S. (2004). Communication-efficient leader election and consensus with limited link synchrony. In Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing, pages 328–337.
Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15):2787–2805.
Chandra, T. D., Hadzilacos, V., and Toueg, S. (1996). The weakest failure detector for solving consensus. Journal of the ACM (JACM), 43(4):685–722.
Chandra, T. D. and Toueg, S. (1996). Unreliable failure detectors for reliable distributed systems. Journal of the ACM (JACM), 43(2):225–267.
Chen, W., Toueg, S., and Aguilera, M. K. (2002). On the quality of service of failure detectors. IEEE Transactions on computers, 51(5):561–580.
Cristian, F. and Fetzer, C. (1999). The timed asynchronous distributed system model. IEEE Transactions on Parallel and Distributed Systems, 10(6):642–657.
Fischer, M. J., Lynch, N. A., and Paterson, M. S. (1985). Impossibility of distributed consensus with one faulty process. Journal of the ACM (JACM), 32(2):374–382.
Janoneda, L. (2022). A cada desastre natural no brasil, em média, 3,4 mil pessoas são afetadas. Acessada: 2022-01-09.
Kovatsch, M., Lanter, M., and Shelby, Z. (2014). Californium: Scalable cloud services for the internet of things with coap. In 2014 International Conference on the Internet of Things (IOT), pages 1–6. IEEE.
Rossetto, A. G. d. M., Geyer, C. F., Arantes, L., and Sens, P. (2018). Impact fd: An unreliable failure detector based on process relevance and confidence in the system. The Computer Journal, 61(10):1557–1576.
Sens, P., Arantes, L., Rosseto, A. G. D. M., and Marin, O. (2024). Stab-fd: A cooperative and adaptive failure detector for wide area networks. Journal of Parallel and Distributed Computing, 186.
Verissimo, P. and Rodrigues, L. (2012). Distributed Systems for System Architects, volume 1. Springer Science & Business Media.
Yang, R., Zhu, S., Li, Y., and Gupta, I. (2019). Medley: A novel distributed failure detector for IoT networks. In Proceedings of the 20th International Middleware Conference, pages 319–331.
Publicado
24/05/2024
Como Citar
SILVA, Abadio de Paulo; ROSSETTO, Anubis Graciela de Moraes; SENS, Pierre; ARANTES, Luciana; PASQUINI, Rafael; COELHO, Paulo.
Disaster-FD: Um detector de falhas para ambientes suscetíveis a desastres. In: WORKSHOP DE TESTES E TOLERÂNCIA A FALHAS (WTF), 25. , 2024, Niterói/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 43-56.
ISSN 2595-2684.
DOI: https://doi.org/10.5753/wtf.2024.2903.
