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Network coding node placement for delay minimization in streaming overlays

机译:网络编码节点放置用于拖塔覆盖中的延迟最小化

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Network coding has been proposed recently as an efficient method to increase network throughput by allowing network nodes to combine packets instead of simply forwarding them. However, packet combinations in the network may increase delay, complexity and even generate overly redundant information when they are not designed properly. Typically, the best performance is not achieved when all the nodes perform network coding. In this paper, we address the problem of efficiently placing network coding nodes in overlay networks, so that the rate of innovating packets is kept high, and the delay for packet delivery is kept small. We first estimate the expected number of duplicated packets in each network node. These estimations permit to select the nodes that should implement network coding, so that the innovating rate increases. Two algorithms are then proposed for the cases where a central node is aware of the full network statistics and where each node knows the local statistics from its neighbor, respectively. The simulation results show that in the centralized scenario the maximum profit from network coding comes by adding only a few network coding nodes. A similar result is obtained with the algorithm based on local statistics, which moreover performs very close to the centralized solution. These results show that the proper selection of the network coding nodes is crucial for minimizing the transmission delay in streaming overlays.
机译:最近已经提出了网络编码作为通过允许网络节点组合数据包而不是简单地转发它们来提高网络吞吐量的有效方法。然而,当网络中的网络中的分组组合可以增加延迟,复杂性并且甚至在不正确地设计时产生过多的冗余信息。通常,当所有节点执行网络编码时,不会实现最佳性能。在本文中,我们解决了覆盖网络中有效地放置网络编码节点的问题,使得创新分组的速率保持高,并且包传送的延迟保持小。我们首先估计每个网络节点中的预期重复数据包数。这些估计允许选择应该实现网络编码的节点,以便创新率增加。然后提出了两个算法,用于中央节点知道完整的网络统计信息,并且每个节点分别从其邻居知道本地统计信息的情况下。仿真结果表明,在集中式场景中,网络编码中的最大利润仅添加了几个网络编码节点。使用基于本地统计数据的算法获得了类似的结果,这一切非常接近集中式解决方案。这些结果表明,网络编码节点的正确选择对于最小化流覆盖中的传输延迟是至关重要的。

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