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Scalable and density-aware measurement strategies for overlay networks

机译:覆盖网络的可扩展和密度感知的测量策略

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In overlay networks, when we consider the effective and accurate measurement of underlay IP network between overlay nodes, it is important to take care the density of the overlay nodes in the network. In this paper, we propose the measurement strategy on the overlay networks which dramatically reduces the number of required measurement tasks for obtaining the up-to-date characteristics of full-mesh overlay paths. Our method does not require full-mesh information exchange between overlay nodes. One of the advantages of the propose method is that when the number of overlay nodes (N) increases our method does not require O(N~2) measurement overhead, and the measurement overhead decreases when the density of the overlay nodes is larger than around 0.5. Through numerical evaluations, we show that our method can reduce the number of required measurements tasks by up to 1/50. We also find that we need to estimate the density of the overlay nodes in the network to determine the length of the measurement cycle for partial overlapping overlay paths.
机译:在覆盖网络中,当我们考虑覆盖节点之间的底层IP网络的有效和准确测量时,重要的是要注意网络中的覆盖节点的密度。在本文中,我们提出了覆盖网络上的测量策略,其显着降低了所需测量任务的数量,以获得全网状覆盖路径的最新特性。我们的方法不需要覆盖节点之间的全网状信息交换。提出方法的优点之一是,当覆盖节点(n)的数量增加时,我们的方法不需要O(n〜2)测量开销,并且当覆盖节点的密度大于周围时,测量开销减小0.5。通过数值评估,我们表明我们的方法可以将所需测量任务的数量减少到1/50。我们还发现我们需要估计网络中的覆盖节点的密度,以确定用于部分重叠覆盖路径的测量周期的长度。

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