HAQM: A Hybrid SDN controller-based Architecture for effective QoS Management in Edge-IoT Network

The rapid development of the Internet of Things (IoT) has led to an exponential increase in data volumes offloaded to edge computing for rapid processing and analysis close to IoT devices. One of the major challenges of edge computing is better use of network performance in terms of latency, bandwidth, reliability, and security. Most IoT applications such as autonomous vehicles, connected health systems, augmented reality, industrial monitoring, and smart cities operate in real-time and generally have quality of service (QoS) constraints when transmitting data in the network. In addition, the Software-Defined Networking (SDN) paradigm with its centralized control and configuration of network devices can make decision-making dynamic on the transmission policy of data flows in the Edge-IoT system. However, these traditional SDN approaches based on a centralized controller have shown their limitations in terms of scalability, efficiency, and speed. To address these QoS issues, we propose a novel hybrid SDN controller-based architecture for effective QoS management in Edge-IoT network (HAQM) which is a promising solution for real-time IoT applications that are latency-sensitive, providing centralized control while using local resources to reduce latency. This sophisticated architecture marks a major advancement in edge-IoT network management, meeting the performance requirements of modern IoT applications.