Quality of service (QoS) aware flow analysis in software defined networks

User demands increases in terms of network application and services. Increased user demand and connected smart devices needs different network management approach. Because, Quality of Experience's requirements have been changed. To provide high data rate demand with low latency, new infrastructures have been developed such as 5G wireless network and existing technologies have been extended with IoT technologies. Changing network infrastructure may cause costly operation in ossified architecture. Therefore, to meet changed requirements in terms of Quality of Service (QoS) in ossified network architecture, Software Defined approach has been considered. Software Defined Network architectures provide flexibility on network by decoupling control plane and data plane. Separation of those plane is one of main feature of SDN which creates programmable network by elimination hardware constraint. QoS based path provision has been provided with SDN deployments and flow management is one of the way to guarantee QoS in SDN. However, it is a challenging issue in terms of network throughput and resource utilization. There are several proposed solutions for QoS provision in terms of routing and flow management. Existing solutions try to guarantee QoS by proposing new routing algorithms which considers some of network limitations such as bandwidth, extending existing routing algorithm and creating framework for flow management. Proposed solutions in literature has not considered data traffic type and effects of chosen routing algorithm. Since SDN architecture allows to manage data traffic in efficient way by decoupling data plane and control plane, dynamic flow decision can be done in control plane. In this work, QoS aware dynamic flow addressing is proposed to solve routing challenge for QoS provision by designing SDN controller. Proposed SDN controller considers data traffic type, link delay and flow statistics to decide routing algorithm for upcoming flows. Threshold value has been used to evaluate flow count during decision of routing algorithm. Different threshold value is applied for TCP and UDP data traffic. Therefore, different QoS provisioning can be done according to data traffic type. Proposed mechanism has been applied on smart building network for QoS provision due to increasing demand on smart home and building technologies. Aim of the proposed algorithm is to decrease packet delay in end to end transmission which is one of QoS parameters for TCP traffic and packet drop rate for UDP traffic. As a result, evaluations of proposed model shows that the algorithm yields low latency for TCP and UDP traffic and low packet drop rate for UDP than Bellman-Ford and Dijkstra's algorithm.