首页> 外文期刊>IEEE Journal on Selected Areas in Communications >On the geographic location of Internet resources
【24h】

On the geographic location of Internet resources

机译:关于互联网资源的地理位置

获取原文
获取原文并翻译 | 示例
           

摘要

One relatively unexplored question about the Internet's physical structure concerns the geographical location of its components: routers, links, and autonomous systems (ASes). We study this question using two large inventories of Internet routers and links, collected by different methods and about two years apart. We first map each router to its geographical location using two different state-of-the-art tools. We then study the relationship between router location and population density; between geographic distance and link density; and between the size and geographic extent of ASes. Our findings are consistent across the two datasets and both mapping methods. First, as expected, router density per person varies widely over different economic regions; however, in economically homogeneous regions, router density shows a strong superlinear relationship to population density. Second, the probability that two routers are directly connected is strongly dependent on distance; our data is consistent with a model in which a majority (up to 75%-95%) of link formation is based on geographical distance (as in the Waxman (1988) topology generation method). Finally, we find that ASes show high variability in geographic size, which is correlated with other measures of AS size (degree and number of interfaces). Among small to medium ASes, ASes show wide variability in their geographic dispersal; however, all ASes exceeding a certain threshold in size are maximally dispersed geographically. These findings have many implications for the next generation of topology generators, which we envisage as producing router-level graphs annotated with attributes such as link latencies, AS identifiers, and geographical locations.
机译:关于互联网的物理结构的一个相对未开发的问题涉及其组件的地理位置:路由器,链接和自主系统(ASES)。我们使用不同方法和大约两年的互联网路由器和链接收集的大量互联网路由器和链接来研究这个问题。我们首先使用两种不同的最先进的工具将每个路由器映射到其地理位置。然后,我们研究路由器位置与人口密度之间的关系;在地理距离和链接密度之间;在ases的大小和地理范围之间。我们的发现一致横跨两个数据集和两个映射方法。首先,正如预期的那样,每人的路由器密度差异很大,不同的经济区域;然而,在经济上均匀的区域中,路由器密度显示出与人口密度的强烈的超线关系。其次,两个路由器直接连接的概率强烈依赖于距离;我们的数据与其中大多数(高达75%-95%)的链接形成基于地理距离的模型一致(如蜡烛(1988)拓扑生成方法)。最后,我们发现ASES在地理尺寸中显示出高度的可变性,与其他尺寸(界面的程度和数量)相关的其他措施相关。在中等asses中,Ases在其地理分散方面表现出广泛的变化;然而,超过尺寸的某个阈值的所有原因在地理上最大程度地分散。这些调查结果对下一代拓扑生成器具有许多影响,我们设想生产带有链路延迟等属性的路由级图形,如标识符和地理位置。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号