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Multicast with network coding in application-layer overlay networks

机译:应用层覆盖网络中网络编码的组播

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All of the advantages of application-layer overlay networks arise from two fundamental properties: 1) the network nodes in an overlay network, as opposed to lower-layer network elements such as routers and switches, are end systems and have capabilities far beyond basic operations of storing and forwarding; 2) the overlay topology, residing above a densely connected Internet protocol-layer wide-area network, can be constructed and manipulated to suit one's purposes. We seek to improve end-to-end throughput significantly in application-layer multicast by taking full advantage of these unique characteristics. This objective is achieved with two novel insights. First, we depart from the conventional view that overlay nodes can only replicate and forward data. Rather, as end systems, these overlay nodes also have the full capability of encoding and decoding data at the message level using efficient linear codes. Second, we depart from traditional wisdom that the multicast topology from source to receivers needs to be a tree, and propose a novel and distributed algorithm to construct a two-redundant multicast graph (a directed acyclic graph) as the multicast topology, on which network coding is applied. We design our algorithm such that the costs of link stress and stretch are explicitly considered as constraints and minimized. We extensively evaluate our algorithm by provable analytical and experimental results, which show that the introduction of two-redundant multicast graph and network coding may indeed bring significant benefits, essentially doubling the end-to-end throughput in most cases.
机译:应用层覆盖网络的所有优点来自两个基本属性:1)覆盖网络中的网络节点,而不是诸如路由器和交换机的下层网络元件,是最终系统,并且具有远远超出基本操作的能力存储和转发; 2)覆盖拓扑,驻留在密集连接的因特网协议层广域网上,可以构造和操纵以适应一个人的目的。我们通过充分利用这些独特的特征,我们试图在应用层组播中显着提高端到端吞吐量。这一目标是通过两种新颖洞察力实现的。首先,我们从传统的视图中离开,覆盖节点只能复制和转发数据。相反,作为终端系统,这些覆盖节点还使用有效的线性码在消息级别编码和解码数据的完全能力。其次,我们从传统的智慧中离开,从源到接收器的组播拓扑需要是树,并提出一种新颖和分布式算法来构造一个双冗余组播图(一条定向的非循环图)作为多播拓扑,在哪个网络上编码应用。我们设计算法,使得链接应力和延伸的成本明确被视为约束和最小化。我们通过可证明的分析和实验结果广泛地评估我们的算法,这表明,推出了双冗余的多播图和网络编码可能确实会带来显着的好处,在大多数情况下基本上将端到端吞吐量加倍。

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