Inferring subnets in router-level topology collection studies

Mehmet H. Gunes, Kamil Sarac

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    27 Scopus citations

    Abstract

    Internet measurement studies require availability of representative topology maps. Depending on the map resolution (e.g., autonomous system level or router level), the procedure of collecting and processing an Internet topology map involves different tasks. In this paper, we present a new task, i.e., subnet inference, to advance the current state of the art in topology collection studies. Utilizing a technique to infer the subnet relations among the routers in the resulting topology map, we identify IP addresses that are connected over the same connection medium. We believe that the successful inclusion of subnet relations among the routers will yield topology maps that are closer, at the network layer, to the sampled segments of the Internet in router level topology measurement studies.

    Original languageEnglish
    Title of host publicationIMC'07
    Subtitle of host publicationProceedings of the 2007 ACM SIGCOMM Internet Measurement Conference
    Pages203-208
    Number of pages6
    DOIs
    StatePublished - 2007
    EventIMC'07: 2007 7th ACM SIGCOMM Internet Measurement Conference - San Diego, CA, United States
    Duration: 24 Oct 200726 Oct 2007

    Publication series

    NameProceedings of the ACM SIGCOMM Internet Measurement Conference, IMC

    Conference

    ConferenceIMC'07: 2007 7th ACM SIGCOMM Internet Measurement Conference
    Country/TerritoryUnited States
    CitySan Diego, CA
    Period24/10/0726/10/07

    Keywords

    • Router-level map
    • Subnet inference
    • Topology discovery

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