Multi-Layer Network Slicing and Resource Allocation Scheme for Traffic-aware QoS ensured SDN/NFV-5G Network

Abstract

The forthcoming Fifth Generation (5G) mobile network introduces big challenges in the Quality of Service (QoS). The current research work aims to maximize QoS under fair Service Level Agreement (SLA) constrain due to QoS achievement in SDN/NFV enabled 5G network is challenging. The challenges due to the mobility of high users, the traffic density variation among slices introduces load imbalance among network elements degrades QoS as well as Absence of traffic priority knowledge doesnot provide appropriate QoS. In the present work, the GraphNet algorithm for slice resource sharing. The available Virtual Network Functions (VNF) resources in the slice are constructed as a graph and the VNF sharing is performed among graphs of the slices. The GraphNet works upon Traffic Density User Mobility and Service Availability constraints. The resource sharing among slices assures connectivity for all 5G users. The traffic is processed in each layer to ensure an appropriate QoS level. Network Slicing Technologies has been used to optimize the utilization of the allocation of network resources and the quality of service metrics. Using the Mininet simulation platform, the custom network topology, nodes, and other details can be managed by the SDN experiment in the Ryu controller. The OpenFlow protocol can be capture of traffic in the Wireshark packet grab program to validate the SDN control concept. The result shows that there is an improvement in the QoS of the system by decreasing the delay as well as the jitter of the proposed system and at same time, the throughput of the system is increased.