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OpenE2EQoS: Meter-based method for end-to-end QoS of multimedia services over SDN

机译:OpenE2EQoS:基于计量器的基于SDN的多媒体服务的端到端QoS的方法

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摘要

IP multicast is a technique to save bandwidth when sending multimedia traffic to multiple users. However, to provide end-to-end quality of service (QoS) for multicast applications is still a challenging problem. The recently emerging technique, software defined network(SDN), provides a flexible network management capability by decoupling the data plane and the control plane. The control plane can be programmable to intelligently allocate network resources based on the information collected from the data plane. In this paper, we propose an end-to-end QoS multicast mechanism in SDN environments. We design an algorithm which adaptively provides the bandwidth provision via a learning mechanism for the multimedia traffic. Thus, QoS of multimedia flows could be guaranteed effectively and efficiently even under heavy-loaded scenarios. In addition, the learning approach is to utilize the link bandwidth efficiently by predicting the required QoS bandwidth. Furthermore, low priority packets are forwarded statistically among N different routes to mitigate the congesting link problem. Such a design could prevent the oscillation problem which could exist in traditional approaches which are to reroute the multimedia traffic to other routes. Our design leverages the flexible functions provided by SDN protocols. The performance is evaluated in a real SDN environment. The experimental results show the effectiveness of the proposed algorithm.
机译:IP组播是一种在向多个用户发送多媒体流量时节省带宽的技术。但是,为多播应用程序提供端到端的服务质量(QoS)仍然是一个具有挑战性的问题。最新出现的技术是软件定义网络(SDN),它通过将数据平面和控制平面分离来提供灵活的网络管理功能。可以对控制平面进行编程,以根据从数据平面收集的信息智能地分配网络资源。在本文中,我们提出了一种在SDN环境中的端到端QoS多播机制。我们设计了一种算法,该算法通过学习机制为多媒体流量自适应地提供带宽。因此,即使在重载的情况下,也可以有效地保证多媒体流的QoS。另外,学习方法是通过预测所需的QoS带宽来有效利用链路带宽。此外,低优先级数据包在N条不同的路由之间进行统计转发,以缓解拥塞链路问题。这样的设计可以防止在将多媒体业务重新路由到其他路由的传统方法中可能存在的振荡问题。我们的设计利用了SDN协议提供的灵活功能。在真实的SDN环境中评估性能。实验结果表明了该算法的有效性。

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