TCP/IPoDWDM: A Case for Adaptive Congestion Control in Optical Networks under Physical Layer Impairments
Resumo
A consolidação de redes orientadas por IPoDWDM remove a demarcação entre as camadas de pacotes e óptica, aumentando significativamente a complexidade do sistema de gerenciamento, mas também criando novas oportunidades. Propomos o TCP/IPoDWDM como um meio de avançar nessa consolidação, considerando como as deficiências na camada física afetam a taxa de transferência e a imparcialidade, dependendo do algoritmo de controle de congestionamento TCP utilizado. Este estudo é o primeiro a explorar a adaptação dinâmica do algoritmo de controle de congestionamento no nível do servidor ou da máquina virtual como uma solução potencial para aplicações sensíveis a perdas, como a Ciência Intensiva em Dados (DiS). Ao aproveitar as métricas da Relação Sinal-Ruído Óptico (OSNR), fornecidas por planos de controle e gerenciamento integrados, esta abordagem visa otimizar o desempenho durante a fase de estabelecimento da sessão. Descrevemos a abordagem de modelagem, os experimentos conduzidos e as direções para pesquisas futuras.
Palavras-chave:
TCP/IPoDWDM, Controle de Congestionamento TCP, Ciência intensiva de dados, Relação sinal ruído óptico
Referências
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Hacker, T. J., Athey, B. D., and Noble, B. (2002). The end-to-end performance effects of parallel TCP sockets on a lossy wide-area network. In Proceedings 16th International Parallel and Distributed Processing Symposium, pages 10–pp. IEEE.
Hand, S. J., Welch, D. F., Bhaskara, V., Naik, D., Wikman, A., Silvola, M., Su, H., Monteiro, T., Marques, F., Santos, P., et al. (2024). A new operational paradigm for IPoDWDM networks. IEEE Access.
Hartling, E. R., Pilipetskii, A., Evans, D., Mateo, E., Salsi, M., Pecci, P., and Mehta, P. (2021). Design, acceptance and capacity of subsea open cables. Journal of Lightwave Technology, 39(3):742–756.
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Kong, Y., Zang, H., and Ma, X. (2018). Improving TCP congestion control with machine intelligence. In Proceedings of the 2018 Workshop on Network Meets AI & ML, pages 60–66.
Lantz, B., Díaz-Montiel, A. A., Yu, J., Rios, C., Ruffini, M., and Kilper, D. (2020). Demonstration of software-defined packet-optical network emulation with Mininet-Optical and ONOS. In Optical Fiber Communication Conference (OFC) 2020, page M3Z.9. Optica Publishing Group.
Lathi, B. P. and Ding, Z. (2010). Modern digital and analog communication systems. Oxford University Press, Inc.
Peng, F., Zhang, J., and Ryan, W. E. (2007). Adaptive modulation and coding for IEEE 802.11n. In 2007 IEEE Wireless Communications and Networking Conference, pages 656–661. IEEE.
Sediq, A. B., Gohary, R. H., Schoenen, R., and Yanikomeroglu, H. (2013). Optimal tradeoff between sum-rate efficiency and Jain’s fairness index in resource allocation. IEEE Transactions on Wireless Communications, 12(7):3496–3509.
Yang, S., Tang, Y., Pan, W., Wang, H., Rong, D., and Zhang, Z. (2023). Optimization of BBR congestion control algorithm based on pacing gain model. Sensors, 23(9):4431.
Chen, X., Kim, H., Aman, J. M., Chang, W., Lee, M., and Rexford, J. (2020). Measuring TCP round-trip time in the data plane. In Proceedings of the Workshop on Secure Programmable Network Infrastructure, SPIN ’20, pages 35–41, New York, NY, USA. Association for Computing Machinery.
Ha, S., Rhee, I., and Xu, L. (2008). Cubic: A new TCP-friendly high-speed TCP variant. SIGOPS Oper. Syst. Rev., 42(5):64–74.
Hacker, T. J., Athey, B. D., and Noble, B. (2002). The end-to-end performance effects of parallel TCP sockets on a lossy wide-area network. In Proceedings 16th International Parallel and Distributed Processing Symposium, pages 10–pp. IEEE.
Hand, S. J., Welch, D. F., Bhaskara, V., Naik, D., Wikman, A., Silvola, M., Su, H., Monteiro, T., Marques, F., Santos, P., et al. (2024). A new operational paradigm for IPoDWDM networks. IEEE Access.
Hartling, E. R., Pilipetskii, A., Evans, D., Mateo, E., Salsi, M., Pecci, P., and Mehta, P. (2021). Design, acceptance and capacity of subsea open cables. Journal of Lightwave Technology, 39(3):742–756.
Kamalzadeh, M., Zhang, T., Fumagalli, A., and Manzotti, R. (2024). An IPoDWDM implementation leveraging OpenROADM standards for enhanced service orchestration. In 2024 24th International Conference on Transparent Optical Networks (ICTON), pages 1–4. IEEE.
Kong, Y., Zang, H., and Ma, X. (2018). Improving TCP congestion control with machine intelligence. In Proceedings of the 2018 Workshop on Network Meets AI & ML, pages 60–66.
Lantz, B., Díaz-Montiel, A. A., Yu, J., Rios, C., Ruffini, M., and Kilper, D. (2020). Demonstration of software-defined packet-optical network emulation with Mininet-Optical and ONOS. In Optical Fiber Communication Conference (OFC) 2020, page M3Z.9. Optica Publishing Group.
Lathi, B. P. and Ding, Z. (2010). Modern digital and analog communication systems. Oxford University Press, Inc.
Peng, F., Zhang, J., and Ryan, W. E. (2007). Adaptive modulation and coding for IEEE 802.11n. In 2007 IEEE Wireless Communications and Networking Conference, pages 656–661. IEEE.
Sediq, A. B., Gohary, R. H., Schoenen, R., and Yanikomeroglu, H. (2013). Optimal tradeoff between sum-rate efficiency and Jain’s fairness index in resource allocation. IEEE Transactions on Wireless Communications, 12(7):3496–3509.
Yang, S., Tang, Y., Pan, W., Wang, H., Rong, D., and Zhang, Z. (2023). Optimization of BBR congestion control algorithm based on pacing gain model. Sensors, 23(9):4431.
Publicado
19/05/2025
Como Citar
P. FILHO, Pedro P.; TOGNERI, Arnaldo P.; RIBEIRO, Moises R. N.; SEGATTO, Marcelo E. V.; BORGES, Everson Scherrer; MARTINELLO, Magnos.
TCP/IPoDWDM: A Case for Adaptive Congestion Control in Optical Networks under Physical Layer Impairments. In: WORKSHOP DE PESQUISA EXPERIMENTAL DA INTERNET DO FUTURO (WPEIF), 16. , 2025, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 26-33.
ISSN 2595-2692.
DOI: https://doi.org/10.5753/wpeif.2025.8764.
