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The Internet Dark Matter - on the Missing Links in the AS Connectivity Map

机译:互联网暗物质 - 在Connectivity Map中的缺失链接上

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The topological structure of the Internet infrastructure is an important and interesting subject that attracted significant research attention in the last few years. Apart from the pure intellectual challenge of understanding a very big, complex, and ever evolving system, knowing the structure of the Internet topology is very important for developing and studying new protocols and algorithms. Starting with the fundamental work of Falostous et. al, a considerable amount of work was done recently in this field, improving our knowledge and understanding of the Internet structure. However, one basic problem is still unanswered: how big is the Internet. In the AS level this means: how many peering relations exist between ASs. Finding this number is hard since there is no direct way to retrieve information from all nodes regarding their direct neighbors, and all our knowledge is based on sampling processes. Thus, it is very difficult to characterize the Internet since it may well be the case that this characterization is a result of the sampling process, and it does not hold for the "real" Internet. In this paper we attack this problem by suggesting a novel usage of the measurements themselves in order to infer information regarding the whole system. In other words, in addition to looking at the overall graph that is generated from the union of the data obtained by performing many measurements, we consider the actual different measurements and the amount of new data obtained in each of them with respect to the previous collected data. Using the second moment allows us to reach conclusions regarding the structure of the system we are measuring, and in particular to estimate its total size. We present strong evidence to the fact that a considerable amount (at least 35percent) of the links in the AS level are still to be unveiled. Our findings indicate that almost all these missing links are of type peer-peer, and we provide novel insight regarding the structure of the AS connectivity map with respect to the peering type.
机译:互联网基础设施的拓扑结构是一个重要而有趣的主题,在过去几年中引起了显着的研究。除了了解一个非常大,复杂和不断发展的系统的纯粹智力挑战,了解互联网拓扑结构对于开发和研究新的协议和算法非常重要。从Falostous et的基本工作开始。 al最近在这一领域完成了相当数量的工作,提高了我们对互联网结构的知识和理解。但是,一个基本问题仍未得到答复:互联网有多大。在AS级别这意味着:屁股之间存在多少个凝视关系。发现此数字很难,因为没有直接方法可以从关于其直接邻居的所有节点检索信息,并且我们所有知识都基于采样过程。因此,非常难以表征互联网,因为该表征是采样过程的结果,并且它不适用于“真实”互联网。在本文中,我们通过表明测量本身的新用途来攻击这个问题,以便推断有关整个系统的信息。换句话说,除了查看由通过执行许多测量获得的数据的联盟生成的整体图表之外,我们考虑实际的不同测量和在每个中获得的新数据的量相对于之前收集的数据。使用第二时刻允许我们达到关于我们测量的系统结构的结论,特别是估计其总尺寸。我们为AS水平中的链接的相当数量(至少35percent)展开了强有力的证据。我们的调查结果表明,几乎所有这些缺失的链接都是对等方的类型,我们提供了关于相对于凝固类型的作为连接图的结构的新颖洞察力。

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