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Broadcasting on Large Scale Heterogeneous Platforms with Connectivity Artifacts under the Bounded Multi-port Model

机译:有界多端口模型下具有连接工件的大规模异构平台上的广播

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e consider the classical problem of broadcasting a large message at an optimal rate in a large scale distributed network. The main novelty of our approach is that we consider that the set of participating nodes can be split into two parts: "green" nodes that stay in the open-Internet and "red" nodes that lie behind firewalls or NATs. Two red nodes cannot communicate directly, but rather need to use a green node as a gateway for transmitting a message. In this context, we are interested in both maximizing the throughput (i.e. the rate at which nodes receive the message) and minimizing the degree at the participating nodes, i.e. the number of TCP connections they must handle simultaneously. We consider both cyclic and a cyclic solutions for the flow graph. In the cyclic case, our main contributions are a closed form formula for the optimal cyclic throughput and the proof that the optimal solution may require arbitrarily large degrees. In the a cyclic case, we propose an algorithm to achieve the optimal throughput with low degree. Then, we prove a worst case ratio between the optimal a cyclic and cyclic throughput and show through simulations that this ratio is on average very close to 1, which makes a cyclic solutions efficient both in terms of throughput and of number of connections.
机译:e考虑在大型分布式网络中以最佳速率广播大消息的经典问题。我们方法的主要新颖之处在于,我们认为参与节点的集合可以分为两部分:保留在开放Internet中的“绿色”节点和位于防火墙或NAT之后的“红色”节点。两个红色节点无法直接通信,但是需要使用绿色节点作为传输消息的网关。在这种情况下,我们既希望最大化吞吐量(即节点接收消息的速率),又要最小化参与节点的程度,即它们必须同时处理的TCP连接数。对于流程图,我们同时考虑循环和循环解。在循环情况下,我们的主要贡献是最优循环吞吐量的封闭形式公式,以及证明最优解可能需要任意大程度的证明。在循环情况下,我们提出了一种以低度实现最佳吞吐量的算法。然后,我们证明了最佳a循环吞吐量和循环吞吐量之间的最坏情况比率,并通过仿真表明该比率平均非常接近1,这使循环解决方案在吞吐量和连接数方面均有效。

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