This paper proposes using coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance, specifically round-trip propagation and transmission delay. The authors study two mechanisms: the triangulated heuristic, which uses relative coordinates from hosts to special network nodes, and Global Network Positioning (GNP), which uses absolute coordinates computed from modeling the Internet as a geometric space. Both methods allow end hosts to compute inter-host distances efficiently and scalably. Experiments using measured Internet distance data show that both coordinates-based schemes outperform the existing state-of-the-art system IDMaps, with GNP achieving the highest accuracy and robustness. The paper also discusses the benefits and trade-offs of each approach, the evaluation methodology, and the sensitivity of the methods to infrastructure node placement. Additionally, it explores the sources of inaccuracy and the potential of the GNP framework for other applications.This paper proposes using coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance, specifically round-trip propagation and transmission delay. The authors study two mechanisms: the triangulated heuristic, which uses relative coordinates from hosts to special network nodes, and Global Network Positioning (GNP), which uses absolute coordinates computed from modeling the Internet as a geometric space. Both methods allow end hosts to compute inter-host distances efficiently and scalably. Experiments using measured Internet distance data show that both coordinates-based schemes outperform the existing state-of-the-art system IDMaps, with GNP achieving the highest accuracy and robustness. The paper also discusses the benefits and trade-offs of each approach, the evaluation methodology, and the sensitivity of the methods to infrastructure node placement. Additionally, it explores the sources of inaccuracy and the potential of the GNP framework for other applications.