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Scalable and Density-Aware Measurement Strategies for Overlay Networks

机译:覆盖网络的可扩展且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(N2) 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,当我们考虑对覆盖节点之间的底层IP网络进行有效而准确的测量时,重要的是要注意网络中覆盖节点的密度。在本文中,我们提出了覆盖网络上的测量策略,该策略可大大减少获得全网格覆盖路径的最新特征所需的测量任务。我们的方法不需要覆盖节点之间的全网格信息交换。该方法的优点之一是,当覆盖节点数(N)增加时,我们的方法不需要O(N 2 )测量开销,而当覆盖密度增加时,测量开销减小。覆盖节点大于0.5左右。通过数值评估,我们证明了我们的方法最多可以将所需的测量任务数量减少1/50。我们还发现,我们需要估计网络中覆盖节点的密度,以确定部分重叠覆盖路径的测量周期的长度。

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