Prioritized Multi-Tenant Traffic Engineering for Dynamic QoS Provisioning in Autonomous SDN-OpenFlow Edge Networks (2403.15975v1)
Abstract: This letter indicates the critical need for prioritized multi-tenant quality-of-service (QoS) management by emerging mobile edge systems, particularly for high-throughput beyond fifth-generation networks. Existing traffic engineering tools utilize complex functions baked into closed, proprietary infrastructures, largely limiting design flexibility, scalability, and adaptiveness. Hence, this study introduces a software-defined networking (SDN)-based dynamic QoS provisioning scheme that prioritizes multi-tenant network traffic while focusing on the base station-edge cloud scenario. The designed scheme first separates control and data planes and enables traffic management automation using SDN programmability. It then implements dynamic QoS management via the SDN-OpenFlow protocol, which ensures ample bandwidth for multiple priority flows and efficiently manages the remaining bandwidth for non-priority traffic. Empirical experiments are conducted with a Mininet network emulator and an OpenDayLight controller. Performance evaluation validates the proposed scheme's effectiveness in meeting multi-tenant QoS criteria, offering a robust solution for traffic prioritization in SDN-based edge networks.
- Marius Corici, Fabian Eichhorn, and Thomas Magedanz, “Organic 6G Continuum Architecture: A Uniform Control Plane Across Devices, Radio, and Core,” IEEE Networking Letters, 2023.
- M. P. Fernandez, A. C. R. Pedroza, and J. F. de Rezende, “QoS Provisioning across a DiffServ Domain using Policy-Based Management,” in IEEE Global Communications Conference (GLOBECOM), 2001.
- C. Morin, G. Texier, and C. -T. Phan, “On Demand QoS with a SDN Traffic Engineering Management (STEM) Module,” in International Conference on Network and Service Management (CNSM), 2017.
- Martin Slabber, Neco Ventura, and Joyce Mwangama, “SDN-Based Multicast Traffic Engineering for Radio Telescope Data Networks,” IEEE Networking Letters, vol. 6, no. 1, pp. 65-69, 2024. doi: 10.1109/LNET.2023.3319965.
- A. Mendiola, J. Astorga, E. Jacob, and M. Higuero, “A Survey on the Contributions of Software-Defined Networking to Traffic Engineering,” IEEE Communications Surveys & Tutorials, vol. 19, no. 2, pp. 918-953, secondquarter 2017.
- Y. Zhang, Y. Tang, D. Tang, and W. Wang, “QOF: QoS Framework Based on OpenFlow,” in International Conference on Information Science and Control Engineering (ICISCE), 2015.
- A. V. Akella and K. Xiong, “Quality of Service (QoS)-Guaranteed Network Resource Allocation via Software Defined Networking (SDN),” in IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2014.
- H. Krishna, N. L. M. v. Adrichem, and F. A. Kuipers, “Providing Bandwidth Guarantees with OpenFlow,” in Symposium on Communications and Vehicular Technologies (SCVT), 2016.
- Y. Lu, B. Fu, X. Xi, Z. Zhang, and H. Wu, “An SDN-Based Flow Control Mechanism for Guaranteeing QoS and Maximizing Throughput,” Wireless Personal Communications, vol. 97, no. 1, pp. 417-442, 2017.
- I. F. Akyildiz, P. Wang, and S.-C. Lin, “SoftAir: A Software Defined Networking Architecture for 5G Wireless Systems,” Computer Network (Elsevier) Journal, vol. 85, pp. 1-18, July 2015.
- P. Wang, S.-C. Lin, and M. Luo, “A Framework for QoS-Aware Traffic Classification using Semi-Supervised Machine Learning in SDNs,” in IEEE International Conference on Services Computing (SCC), 2016.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.