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Selecting Representative IP Addresses for Internet Topology Studies

机译:选择代表IP地址进行Internet拓扑研究

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An Internet hitlist is a set of addresses that cover and can represent the the Internet as a whole. Hitlists have long been used in studies of Internet topology, reachability, and performance, serving as the destinations of traceroute or performance probes. Most early topology studies used manually generated lists of prominent addresses, but evolution and growth of the Internet make human maintenance untenable. Random selection scales to today's address space, but most random addresses fail to respond. In this paper we present what we believe is the first automatic generation of hitlists informed censuses of Internet addresses. We formalize the desirable characteristics of a hitlist: responsiveness, each representative responds to pings; completeness, they cover all the allocated IPv4 address space; and stability, list evolution is minimized when possible. We quantify the accuracy of our automatic hitlists, showing that only one-third of the Internet allows informed selection of representatives. Of informed representatives, 50-60% are likely to respond three months later, and we show that causes for non-responses are likely due to dynamic addressing (so no stable representative exists) or firewalls. In spite of these limitations, we show that the use of informed hitlists can add 1.7 million edge links (a 5% growth) to traceroute-based Internet topology studies Our hitlists are available free-of-charge and are in use by several other research projects.
机译:Internet命中列表是一组地址,这些地址覆盖并可以代表整个Internet。命中列表长期以来一直用于Internet拓扑,可访问性和性能的研究中,用作跟踪路由或性能探针的目标。大多数早期的拓扑研究使用手动生成的重要地址列表,但是Internet的发展和增长使人工维护变得站不住脚。随机选择可扩展到当今的地址空间,但是大多数随机地址无法响应。在本文中,我们介绍了我们认为是互联网地址的人口普查首次自动生成的命中列表。我们将命中列表的理想特性正式化:响应性,每个代表对ping做出响应;完整性,它们涵盖了所有分配的IPv4地址空间;为了稳定起见,在可能的情况下尽量减少列表演化。我们量化了自动命中列表的准确性,表明只有三分之一的Internet允许知情选择代表。在知情的代表中,有50-60%的人可能会在三个月后做出响应,而且我们表明未响应的原因很可能是由于动态寻址(因此没有稳定的代表存在)或防火墙引起的。尽管存在这些局限性,但我们表明,使用知情的命中列表可以为基于路由跟踪的Internet拓扑研究增加170万个边缘链接(增长5%)。我们的命中列表是免费提供的,并由其他一些研究机构使用项目。

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