Desafios de Escalabilidade e Resiliência em SDN sob Mobilidade: Uma Análise Exploratória do OpenFlow
Resumo
Com a evolução das Redes Definidas por Software (SDN), o suporte a ambientes com alta mobilidade tornou-se um desafio significativo. Este trabalho avalia o desempenho de três controladores SDN amplamente utilizados — ONOS, RYU e implementação de referência do OpenFlow — quando combinados com quatro modelos distintos de mobilidade: Manhattan Grid, Gauss-Markov, Random Direction e Random Waypoint. O objetivo é investigar, por meio de um estudo exploratório, as limitações do OpenFlow e das estratégias de gerenciamento de fluxos em cenários móveis, como redes veiculares, aéreas e IoT móvel, bem como identificar possíveis caminhos para sua adoção mediante adaptações arquiteturais e operacionais. Os resultados indicam que, embora as arquiteturas SDN apresentem boa escalabilidade, as configurações reativas de gerenciamento de fluxos apresentam perdas de desempenho expressivas em ambientes altamente móveis. Em contrapartida, ONOS e OpenFlow Reference demonstraram maior estabilidade em cenários menores, mas atingiram limites de desempenho em condições mais severas. Os resultados reforçam a importância de estratégias proativas e de adaptações no protocolo para garantir a confiabilidade das redes SDN em cenários de alta mobilidade.
Referências
Bello, L. L., Lombardo, A., Milardo, S., Patti, G., and Reno, M. (2020). Experimental assessments and analysis of an sdn framework to integrate mobility management in industrial wireless sensor networks. IEEE Transactions on Industrial Informatics, 16(8):5586–5595.
Bujari, A., Calafate, C. T., Cano, J.-C., Manzoni, P., Palazzi, C. E., and Ronzani, D. (2017). Flying ad-hoc network application scenarios and mobility models. International Journal of Distributed Sensor Networks, 13(10):1550147717738192.
Chaurasia, A., Mishra, S. N., and Chinara, S. (2019). Performance evaluation of software-defined wireless networks in IT-SDN and mininet-wifi. In 2019 1st International Conference on Advances in Information Technology (ICAIT), pages 315–319.
Das, D., Rana, M. K., Sardar, B., Pecorella, T., and Saha, D. (2024). A comparative analysis of distributed mobility management schemes for 5g-based intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems.
Johnson, D. B. and Maltz, D. A. (1996). Dynamic source routing in ad hoc wireless networks. In Mobile computing, pages 153–181. Springer.
Khan, M. A., Dang, X. T., Doersch, T., and Peters, S. (2018). Mobility management approaches for sdn-enabled mobile networks. Annals of Telecommunications, 73:719–731.
Labraoui, M., Boc, M. M., and Fladenmuller, A. (2017). Self-configuration mechanisms for sdn deployment in wireless mesh networks. 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), pages 1–4.
Liang, B. and Haas, Z. J. (2003). Predictive distance-based mobility management for multidimensional pcs networks. IEEE/ACM Transactions On Networking, 11(5):718–732.
Lima, J. P., de Medeiros, Á. A., de Aguiar, E. P., Silva, E. F., de Sousa, V. A., Nunes, M. L., and Reis, A. L. (2023). Deep learning-based handover prediction for 5g and beyond networks. In ICC 2023-IEEE International Conference on Communications, pages 3468–3473. IEEE.
Marquezan, C. C., Despotovic, Z., Khalili, R., Perez-Caparros, D., and Hecker, A. (2016). Understanding processing latency of SDN based mobility management in mobile core networks. In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pages 1–7.
Mobile, U. (1998). Universal mobile telecommunications system (umts); selection procedures for the choice of radio transmission technologies of the umts (umts 30.03 version 3.2. 0).
Pentikousis, K., Wang, Y., and Hu, W. (2013). Mobileflow: Toward software-defined mobile networks. IEEE Communications Magazine, 51(7):44–53.
Saoud, B., Shayea, I., Alnakhli, M. A., and Mohamad, H. (2025). Mobility and handover management in 5g/6g networks: Challenges, innovations, and sustainable solutions. Technologies, 13(8):352.
Silva, R., Santos, D., Meneses, F., Corujo, D., and Aguiar, R. L. (2021). A hybrid SDN solution for mobile networks. Computer Networks, 190:107958.
Sornlertlamvanich, P., Ang-Chuan, T., Sae-Wong, S., Kamolphiwong, T., and Kamolphiwong, S. (2016). SDN-based network mobility. In 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pages 1–6.
Tantayakul, K., Dhaou, R., and Paillassa, B. (2016). Impact of sdn on mobility management. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), pages 260–265.
Tantayakul, K., Dhaou, R., and Paillassa, B. (2019). SDN aided mobility management for connected vehicle networks.
Tong, H., Wang, T., Zhu, Y., Liu, X., Wang, S., and Yin, C. (2021). Mobility-aware seamless handover with mptcp in software-defined hetnets. IEEE Transactions on Network and Service Management, 18(1):498–510.
