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Reliable multicast routing for software-defined networks

机译:用于软件定义网络的可靠多播路由

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Current traffic engineering in SDN mostly focuses on unicast. By contrast, compared with individual unicast, multicast can effectively reduce network resources consumption to serve multiple clients jointly. Since many important applications require reliable transmissions, it is envisaged that reliable multicast plays a crucial role when an SDN operator plans to provide multicast services. However, the shortest-path tree (SPT) adopted in current Internet is not bandwidth-efficient, while the Steiner tree (ST) in Graph Theory is not designed to support reliable transmissions since the selection of recovery nodes is not examined. In this paper, therefore, we propose a new reliable multicast tree for SDN, named Recover-aware Steiner Tree (RST). The goal of RST is to minimize both tree and recovery costs, while finding an RST is very challenging. We prove that the RST problem is NP-Hard and inapproximable within k, which is the number of destination nodes. Thus, we design an approximate algorithm, called Recover Aware Edge Reduction Algorithm (RAERA), to solve the problem. The simulation results on real networks and large synthetic networks, together with the experiment on our SDN testbed with real YouTube traffic, all manifest that RST outperforms both SPT and ST. Also, the implementation of RAERA in SDN controllers shows that an RST can be returned within a few seconds and thereby is practical for SDN networks.
机译:SDN中当前的流量工程主要集中于单播。相比之下,与单独的单播相比,多播可以有效地减少网络资源消耗,从而共同为多个客户端提供服务。由于许多重要的应用程序都需要可靠的传输,因此可以设想,当SDN运营商计划提供多播服务时,可靠的多播起着至关重要的作用。但是,当前Internet中采用的最短路径树(SPT)带宽效率不高,而图论中的Steiner树(ST)并未设计为支持可靠传输,因为未检查恢复节点的选择。因此,在本文中,我们为SDN提出了一种新的可靠多播树,名为可恢复感知的Steiner树(RST)。 RST的目标是最大程度地减少树和恢复成本,而找到RST则非常具有挑战性。我们证明RST问题是NP-Hard且在k(目标节点的数量)之内是不可近似的。因此,我们设计了一种近似算法,称为恢复感知边缘减少算法(RAERA),以解决该问题。在真实网络和大型综合网络上的模拟结果,以及在我们的SDN测试平台上进行的真实YouTube流量的实验,都表明RST的性能优于SPT和ST。此外,在SDN控制器中实现RAERA表示可以在几秒钟内返回RST,因此对于SDN网络是实用的。

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