A Telemetry Based Programmable Network Control Engine for Latency Sensitive Applications
Abstract
Latency-sensitive applications, such as interactive streaming and real-time industrial systems, require fast and stable responses, even under adverse network conditions. However, traditional traffic control methods struggle with variability and congestion, compromising quality of service (QoS). This paper proposes a telemetry-based control mechanism for programmable networks, evaluated through a proof of concept with video-specific scenarios. The results show that the solution ensures greater stability and maintenance of QoS, standing out for its rapid adaptation to traffic variations.
Keywords:
Programmable Networks, Network Telemetry, Latency-Sensitive Applications, Quality of Service, Software-Defined Networking, Traffic Control
References
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Arslan, S., & McKeown, N. (2019). Switches know the exact amount of congestion. In Proceedings of the 2019 Workshop on Buffer Sizing, BS ’19, New York, NY, USA. Association for Computing Machinery.
Avan, A., Azim, A., & Mahmoud, Q. H. (2023). A state-of-the-art review of task scheduling for edge computing: A delay-sensitive application perspective. Electronics, 12(12).
Bosshart, P., et al. (2014). P4: Programming protocol-independent packet processors. SIGCOMM Computer Communication Review, 44(3), 87–95.
Chen, J., et al. (2023). Deep reinforcement learning based dynamic routing optimization for delay-sensitive applications. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference, pages 5208–5213.
Lira, R., Monteiro, L., Simão, V. S., Almeida, L., Gomes, R., Neto, O. A. R., & Maciel Jr., P. D. (2024). Enabling private 5G experimentation with network programmability and infrastructure as code. Demo paper at the IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Liu, K., et al. (2023). Deadline-constrained multi-agent collaborative transmission for delay-sensitive applications. IEEE Transactions on Cognitive Communications and Networking, 9(5), 1370–1384.
Neto, O. R., Chaves, R., Nascimento, A., & Gomes, R. (2024). Middleware para aplicações distribuídas de vídeo com suporte à computação na borda na Indústria 4.0. In Proceedings of the 30th Brazilian Symposium on Multimedia and the Web, pages 215–222, Porto Alegre, RS, Brasil. SBC.
P4. (2021). In-band network telemetry (INT) dataplane specification. Technical report, P4 Consortium.
Ray, P. P., & Kumar, N. (2021). SDN/NFV architectures for edge-cloud oriented IoT: A systematic review. Computer Communications, 169, 129–153.
Yang, H., et al. (2023). A review on software defined content delivery network: A novel combination of CDN and SDN. IEEE Access, 11, 43822–43843.
Published
2025-05-19
How to Cite
SIMÃO, Vinícius S.; LIRA, Rodrigo de B.; MONTEIRO, Lucas V.; MACIEL JR., Paulo Ditarso; GOMES, Ruan D.; ALMEIDA, Leandro C. de.
A Telemetry Based Programmable Network Control Engine for Latency Sensitive Applications. In: WORKSHOP ON EXPERIMENTAL RESEARCH OF THE FUTURE INTERNET (WPEIF), 16. , 2025, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 50-57.
ISSN 2595-2692.
DOI: https://doi.org/10.5753/wpeif.2025.9494.
