• DocumentCode
    797305
  • Title

    Network topologies: inference, modeling, and generation

  • Author

    Haddadi, Hamed ; Rio, Miguel ; Iannaccone, Gianluca ; Moore, Andrew ; Mortier, Richard

  • Author_Institution
    Univ. Coll. London, London
  • Volume
    10
  • Issue
    2
  • fYear
    2008
  • Firstpage
    48
  • Lastpage
    69
  • Abstract
    Accurate measurement, inference and modeling techniques are fundamental to Internet topology research. Spatial analysis of the Internet is needed to develop network planning, optimal routing algorithms, and failure detection measures. A first step toward achieving such goals is the availability of network topologies at different levels of granularity, facilitating realistic simulations of new Internet systems. The main objective of this survey is to familiarize the reader with research on network topology over the past decade. We study techniques for inference, modeling, and generation of the Internet topology at both the router and administrative levels. We also compare the mathematical models assigned to various topologies and the generation tools based on them. We conclude with a look at emerging areas of research and potential future research directions.
  • Keywords
    Internet; telecommunication network planning; telecommunication network routing; telecommunication network topology; Internet topology research; failure detection; network planning; network routing; network topology; spatial analysis; Algorithm design and analysis; Educational institutions; Failure analysis; IP networks; Inference algorithms; Internet; Laboratories; Mathematical model; Network topology; Routing;
  • fLanguage
    English
  • Journal_Title
    Communications Surveys & Tutorials, IEEE
  • Publisher
    ieee
  • ISSN
    1553-877X
  • Type

    jour

  • DOI
    10.1109/COMST.2008.4564479
  • Filename
    4564479