论文标题
在通往高精确IP地理位置的道路上：一个自优化模型
On the Path to High Precise IP Geolocation: A Self-Optimizing Model
论文作者
论文摘要
IP地理位置是未来Internet的关键推动力，可以为应用程序服务提供地理位置信息。例如，内容交付网络使用此数据将用户分配给镜像服务器，这些服务器是附近的，因此提供了增强的流量管理。获得精确稳定的位置信息仍然是一项艰巨的任务，而仅通过使用主动延迟测量来实现适当的结果。本文为确定位置确定的准确且自优化的模型提供了一种高级方法，包括识别用于探测的优化地标位置。此外，选择相关数据和估计的目标位置需要一个复杂的策略来确定正确的位置。我们提出了使用道路网络的通常未知层基础架构的网络距离的近似。我们的概念是在欧洲重点的现实情况下进行评估的。
IP Geolocation is a key enabler for the Future Internet to provide geographical location information for application services. For example, this data is used by Content Delivery Networks to assign users to mirror servers, which are close by, hence providing enhanced traffic management. It is still a challenging task to obtain precise and stable location information, whereas proper results are only achieved by the use of active latency measurements. This paper presents an advanced approach for an accurate and self-optimizing model for location determination, including identification of optimized Landmark positions, which are used for probing. Moreover, the selection of correlated data and the estimated target location requires a sophisticated strategy to identify the correct position. We present an improved approximation of network distances of usually unknown TIER infrastructures using the road network. Our concept is evaluated under real-world conditions focusing Europe.
