Scalable and Adaptive QoS Mapping Control Framework for Packet Video Delivery

Abstract

With the exploding volume of traffic and expanding Quality of Service (QoS) requirements from emerging multimedia applications, many research efforts have been carried out to establish multi-class network service model in next-generation Internet. To successfully support multiple classes of service, network resources must be managed effectively to ensure end-to-end QoS while simultaneously sustaining stable network QoS. First, we present a scalable and adaptive QoS mapping control (SAQM) framework over the differentiated services network focusing reactive edge-to-edge QoS control in class-based. Secondly, under SAQM framework, end-to-end QoS control for per-flow service guarantee is proposed through incorporating relative priority index (RPI)-based video streaming and a special access node called media gateway (MG) at network edge. The SAQM framework is composed of the functionalities of proactive and reactive QoS mapping controls to provide reliable and consistent service guarantee. In our framework, edge-to-edge active monitoring is utilized to obtain measures reflecting each class performance and then measurement-based reactive mapping control for relative network QoS provisioning is performed at MG located in the ingress edges. Simulation results demonstrate the feasibility of an edge-based QoS control and show how to enhance the QoS performance of video streaming in proposed SAQM framework.