Virtual landmarks for the internet

By Liying Tang, Mark Crovella. ACM/SIGCOMM Internet Measurement Conference, 2003

340 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geography, Planning and Development, Signal Processing

View Paper: https://www.semanticscholar.org/paper/52f30a0d23246592f7bbf564ee203e22e172dcb2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Arvind Krishnamurthy
2. Carlos Castillo
3. Haiyun Luo
4. Aristides Gionis
5. Jennifer C. Hou
6. Francesco Bonchi
7. Frank Dabek
8. Margo I. Seltzer

In Geography, Planning and Development

1. Carlos Castillo
2. Aristides Gionis
3. Francesco Bonchi
4. Frank Dabek
5. Margo I. Seltzer
6. Jonathan Ledlie
7. Paul Gardner
8. Yoichi Iwata

In Signal Processing

1. Michael Piatek
2. Arvind Krishnamurthy
3. T. Anderson
4. Carlos Castillo
5. Aristides Gionis
6. Francesco Bonchi
7. Frank Dabek
8. Arun Venkataramani

Citations in the corpus

• Meridian: a lightweight network location service without virtual coordinates (2005, background): “Most notably, we do not assume that the metric is Euclidean, since recent experimental results suggest that approximating Internet latencies by Euclidean metrics, although a useful heuristic in some cases, incurs significant relative errors [42, 15, 40, 57, 52, 44, 12, 43, 39].”
• Fast shortest path distance estimation in large networks (2009, methodology): “The baseline scalable strategy is to select landmarks at random [36, 24, 31].”
• Fast exact shortest-path distance queries on large networks by pruned landmark labeling (2013, methodology): “The major approach is the landmark-based approach [36, 40].”
• Constraint-Based Geolocation of Internet Hosts (2006, neutral): “Landmarks [8], and Vivaldi [9], have addressed the evaluation”
• Zero-Configuration, Robust Indoor Localization: Theory and Experimentation (2006, background): “of APs and wireless monitors in the vicinity of a client to be localized), and the coordinate values of an object o are the distances from o to the reference objects [41]–[43].”
• iPlane: an information plane for distributed services (2006, background): “valdi [13], PIC [12], Tang et al [56] Lighthouse [50], Lim et al [36], Shavitt et al [52] followed.”
• Vivaldi: a decentralized network coordinate system (2004, methodology): “Tang and Crovella propose a coordinate system based on vir­tual landmarks [29]; this scheme is more computationally e.cient than GNP and is not as dependent on the positions of the land­marks.”
• Network Coordinates in the Wild (2007, methodology): “We find the intrinsic dimensionality of large-scale systems to be less than previous work, which studied smaller networks [28], and we show why the world flattens into near-planar Euclidean coordinates.”