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ESTIMATING GEOGRAPHICAL POSITION OF NODES IN THE INTERNET

机译:估算互联网节点的地理位置

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摘要

By the advances in location-aware applications over the Internet, the need for information such as the geographical position of routers and hosts and also the Euclidian distance of nodes is more important than ever. These kinds of information can also provide a valuable insight for network administrators, analysts, and many others In this paper, we propose an algorithm, called GPE, to estimate the geographical position of nodes across the Internet In the proposed approach, Internet topology is modeled by a weighted graph. Each node of the graph may have a corresponding estimation of its position Weight of each edge, in this graph, indicates the estimated length of corresponding link in Internet topology GPE gets this modeling graph, and tries to improve the estimations gradually. This is carefully done by estimating the position of each node based on its neighbors' positions iteratively. The results show that GPE can improve the initial estimation at least 52% on average.
机译:通过互联网上的位置感知应用程序的进步,需要对路由器和主机的地理位置以及节点的欧几里德距离的需求比以往更重要。这些类型的信息还可以为网络管理员,分析师和许多其他信息提供有价值的洞察力,在本文中,我们提出了一种称为GPE的算法,以估计互联网上的节点的地理位置,以所提出的方法,互联网拓扑被建模通过加权图。图中的每个节点可以具有对每个边缘的位置权重的相应估计,在该图中,表示因特网拓扑GPE中的相应链路的估计长度得到该建模图,并试图逐渐提高估计。通过迭代地估计每个节点的位置来仔细完成这一点。结果表明,GPE平均可以提高初始估计至少52%。

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