发表机构
University of Twente; Technical University of Munich; CAIDA/UC San Diego（特文特大学; 慕尼黑工业大学; 加州大学圣地亚哥分校网络测量中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文首次大规模评估基于traceroute的任播定位与枚举方法，与iGreedy相比精度略高，但高估PoP数量且探测成本增加4倍，不适用于普查。
AI 中文摘要
任播允许使用单个IP地址从多个地理位置遥远的接入点（PoPs）提供服务，例如，以提高弹性。由于其不透明性，通常不清楚哪些地址使用任播配置，以及如果使用，PoPs位于何处。由于任播广泛用于关键互联网基础设施（例如DNS），人们已努力绘制任播部署。当前最先进的映射技术iGreedy依赖于基于延迟的测量，并受到由网络处理延迟等引起的噪声的不利影响。先前的工作表明，traceroute可替代地用于检测任播。由于traceroute揭示数据包经过的跳数，它也可用于使用任播PoP附近跳的地理定位数据来定位站点。本文首次通过针对任播普查中的14k前缀，评估基于traceroute的方法在大规模下的性能。使用地面实况，我们表明traceroute在枚举和地理定位精度上比iGreedy略有提高。然而，它遭受高估PoP数量的问题，并导致探测成本增加4倍，使其对任播普查不具有吸引力。
英文摘要
Anycast allows for providing services from multiple, geographically distant Points of Presence (PoPs), using a single IP address, to, e.g., improve resilience. Due to its opaqueness, it is often unknown which addresses are provisioned using anycast and, if so, where the PoPs are located. As anycast is widely used for critical Internet infrastructures (e.g., the DNS) efforts have been made to map anycast deployments. The current state-of-the-art mapping technique, iGreedy, relies on latency-based measurements, and is adversely affected by noise caused by, e.g., network processing delays. Previous work has shown that traceroute can alternatively be used to detect anycast. As traceroute reveals the hops a packet traverses, it may also be used to locate sites using geolocation data for hops near the anycast PoPs. This paper is the first to assess the performance of the traceroute-based approach at scale, by targeting 14k prefixes from an anycast census. Using ground truth we show traceroute achieves a slight increase in enumeration and geolocation precision over iGreedy. However, it suffers from overestimating the number of PoPs and incurs a 4 times increase in probing cost, making it unattractive for anycast censuses.
Comments7 pages, 4 figures, 3 tables, ANRW'25
Journal refProceedings of the 2025 Applied Networking Research Workshop (ANRW'25)
