Predicting Internet network distance with coordinates-based approaches
INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE(2002)
摘要
In this paper, we propose to use coordinates-based mechanisms in a peer-to-peer architecture to predict Internet net- work distance (i.e. round-trip propagation and transmission de- lay). We study two mechanisms. The first is a previously proposed scheme, called the triangulated heuristic, which is based on rela- tive coordinates that are simply the distances from a host to some special network nodes. We propose the second mechanism, called Global Network Positioning (GNP), which is based on absolute coordinates computed from modeling the Internet as a geomet- ric space. Since end hosts maintain their own coordinates, these approaches allow end hosts to compute their inter-host distances as soon as they discover each other. Moreover coordinates are very efficient in summarizing inter-host distances, making these approaches very scalable. By performing experiments using mea- sured Internet distance data, we show that both coordinates-based schemes are more accurate than the existing state of the art system IDMaps, and the GNP approach achieves the highest accuracy and robustness among them.
更多查看译文
关键词
Internet,delays,IDMaps,Internet network distance prediction,coordinates-based approach,global network positioning,inter-host distances,peer-to-peer architecture,relative coordinates,round-trip propagation delay,round-trip transmission delay,triangulated heuristic
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络