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Web Content Cartography
Recent studies show that a
significant part of Internet traffic is delivered through Web-based
applications. To cope with the increasing demand for Web content,
large scale content hosting and delivery infrastructures, such as
data-centers and content distribution networks, are continuously being
deployed. Being able to identify and classify such hosting
infrastructures is helpful not only to content producers and ISPs, but
also to the research community at large. For example, to quantify the
degree of hosting infrastructure deployment in the Internet or the
replication of Web content.
In this paper, we
introduce Web Content Cartography, i.e. the identification
and classification of content hosting and delivery infrastructures. We
propose a lightweight and fully automated approach to discover hosting
infrastructures based only on DNS measurements and BGP routing table
snapshots. Our experimental results show that our approach is feasible
even with a limited number of well-distributed vantage points. We find
that some popular content is served exclusively from specific regions
and ASes. Furthermore, our classification enables us to derive
content-centric AS rankings that complement existing AS rankings and
shed light on recent observations about shifts in interdomain traffic
and the AS topology.
Selected Publications
| Citation key | AMSU-WCC-11 |
|---|---|
| Author | Ager, Bernhard and Mühlbauer, Wolfgang and Smaragdakis, Georgios and Uhlig, Steve |
| Title of Book | Proceedings of Internet Measurement Conference (IMC '11) |
| Pages | 585–600 |
| Year | 2011 |
| ISBN | 978-1-4503-1013-0 |
| Location | Berlin, Germany |
| Address | New York, NY, USA |
| Month | November |
| Note | Best Paper Award |
| Publisher | ACM |
| Abstract | Recent studies show that a significant part of Internet traffic is delivered through Web-based applications. To cope with the increasing demand for Web content, large scale content hosting and delivery infrastructures, such as data-centers and content distribution networks, are continuously being deployed. Being able to identify and classify such hosting infrastructures is helpful not only to content producers, content providers, and ISPs, but also to the research community at large. For example, to quantify the degree of hosting infrastructure deployment in the Internet or the replication of Web content. In this paper, we introduce Web Content Cartography, i.e., the identification and classification of content hosting and delivery infrastructures. We propose a lightweight and fully automated approach to discover hosting infrastructures based only on DNS measurements and BGP routing table snapshots. Our experimental results show that our approach is feasible even with a limited number of well-distributed vantage points. We find that some popular content is served exclusively from specific regions and ASes. Furthermore, our classification enables us to derive content-centric AS rankings that complement existing AS rankings and shed light on recent observations about shifts in inter-domain traffic and the AS topology. |
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