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Prioritized Multi-Tenant Traffic Engineering for Dynamic QoS Provisioning in Autonomous SDN-OpenFlow Edge Networks

Mohammad Sajid Shahriar, Faisal Ahmed, Genshe Chen, Khanh D. Pham, Suresh Subramaniam, Motoharu Matsuura, Hiroshi Hasegawa, Shih-Chun Lin

TL;DR

This paper tackles guaranteeing QoS for multi-tenant traffic in autonomous SDN-OpenFlow edge networks. It proposes a dynamic QoS provisioning scheme that classifies traffic into priority set $C_p$ and non-priority, and enforces bandwidth guarantees through OpenFlow meters/queues under an OpenDayLight controller with a Mininet-based data plane. The method defines QoS goals $Q(d)$ for priority flows and handles three cases (single-priority, multi-priority, no-priority) with a rate-adjustment factor $r$ to ensure total demand fits within $B_{ ext{max}}$ while preserving a non-zero $b_{ ext{min}}$, via Algorithm 1. Experimental results demonstrate that priority flows meet their target throughput and that non-priority traffic maintains minimum QoS, validating the approach for edge TE. The work contributes a practical, programmable framework for dynamic QoS provisioning in SDN-enabled edge networks.

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.

Prioritized Multi-Tenant Traffic Engineering for Dynamic QoS Provisioning in Autonomous SDN-OpenFlow Edge Networks

TL;DR

This paper tackles guaranteeing QoS for multi-tenant traffic in autonomous SDN-OpenFlow edge networks. It proposes a dynamic QoS provisioning scheme that classifies traffic into priority set and non-priority, and enforces bandwidth guarantees through OpenFlow meters/queues under an OpenDayLight controller with a Mininet-based data plane. The method defines QoS goals for priority flows and handles three cases (single-priority, multi-priority, no-priority) with a rate-adjustment factor to ensure total demand fits within while preserving a non-zero , via Algorithm 1. Experimental results demonstrate that priority flows meet their target throughput and that non-priority traffic maintains minimum QoS, validating the approach for edge TE. The work contributes a practical, programmable framework for dynamic QoS provisioning in SDN-enabled edge networks.

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.
Paper Structure (6 sections, 4 figures, 1 algorithm)

This paper contains 6 sections, 4 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. State-of-the-Arts
  3. Autonomous Software-Defined Edge Networks
  4. Multi-Tenant Quality-of-Service Provisioning with Traffic Prioritization
  5. Performance Evaluation
  6. Conclusions

Figures (4)

  • Figure 1: An exemplary scenario of SDN-enabled multi-tenant edge networks.
  • Figure 2: The proposed prioritized multi-tenant traffic engineering platform.
  • Figure 3: Throughput of individual flows without employing the proposed traffic engineering platform.
  • Figure 4: Throughput of each flow in (a) single-priority and (b) multi-priority cases (priority flows are marked with '*') under the provisioning of proposed traffic engineering platform.