direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Es gibt keine deutsche Übersetzung dieser Webseite.

Publications by Type: Conference and Workshop Publications

see also conference papers, workshop papers, demos, and posters. (under construction)

Bigfoot, Sasquatch, the Yeti and other missing links: what we don't know about the AS graph
Zitatschlüssel BSYOML-RTM-08
Autor Roughan, Matthew and Tuke, Jonathan and Maennel, Olaf
Buchtitel Internet Measurement Conference
Seiten 325–330
Jahr 2008
ISBN 978-1-60558-334-1
DOI http://dx.doi.org/10.1145/1452520.1452558
Ort Vouliagmeni, Greece
Adresse New York, NY, USA
Monat October
Verlag ACM
Zusammenfassung Study of the Internet's high-level structure has for some time intrigued scientists. The AS-graph (showing interconnections between Autonomous Systems) has been measured, studied, modelled and discussed in many papers over the last decade. However, the quality of the measurement data has always been in question. It is by now well known that most measurements of the AS-graph are missing some set of links. Many efforts have been undertaken to correct this, primarily by increasing the set of measurements, but the issue remains: how much is enough? When will we know that we have enough measurements to be sure we can see all (or almost all) of the links. This paper aims to address the problem of estimating how many links are missing from our measurements. We use techniques pioneered in biostatistics and epidemiology for estimating the size of populations (for instance of fish or disease carriers). It is rarely possible to observe entire populations, and so sampling techniques are used. We extend those techniques to the domain of the AS-graph. The key difference between our work and the biological literature is that all links are not the same, and so we build a stratified model and specify an EM algorithm for estimating its parameters. Our estimates suggest that a very significant number of links (many of thousands) are missing from standard route monitor measurements of the AS-graph. Finally, we use the model to derive the number of monitors that would be needed to see a complete AS-graph with high-probability. We estimate that 700 route monitors would see 99.9\% of links.
Download Bibtex Eintrag

Zusatzinformationen / Extras


Schnellnavigation zur Seite über Nummerneingabe

Under Construction

This page/section is
still under construc-
tion. Please try again