International Journal of Scientific Research and Engineering Development

Software-Defined Networking (SDN) has emerged as a transformative paradigm that decouples the network control plane from the data forwarding plane, enabling dynamic, programmatic management of network resources. This paper investigates the application of SDN frameworks to improve Quality of Service (QoS) provisioning in heterogeneous cloud environments comprising both public and private infrastructure. We propose an adaptive QoS orchestration architecture, termed CloudFlowQoS, which leverages centralized SDN controllers combined with machine-learning-driven traffic classification to dynamically allocate bandwidth, prioritize latency-sensitive flows, and minimize packet loss. Experimental evaluation across a hybrid testbed— incorporating ONOS, OpenDaylight, and emulated multi-tenant workloads using Mininet—demonstrates that CloudFlowQoS achieves a 34% reduction in end-to-end latency, a 27% improvement in throughput for highpriority flows, and a 41% decrease in SLA violations compared to conventional OSPF-based configurations. Our results highlight the viability of SDN-centric QoS management for modern multi-cloud deployments and provide empirical benchmarks for controller selection

Mr.V Udhayakumar, DS Vishalram,"Software-Defined Networking for Enhanced Quality of Service in Heterogeneous Cloud Environments" International Journal of Scientific Research and Engineering Development, V9(3): Page(2035-2038) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.