• DocumentCode
    1974218
  • Title

    On distinguishing between Internet power law topology generators

  • Author

    Bu, Tian ; Towsley, Don

  • Author_Institution
    Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    638
  • Abstract
    Recent work has shown that the node degree in the WWW induced graph and the autonomous system (AS) level Internet topology exhibit power laws. Since then, several algorithms have been proposed to generate such power law graphs. We evaluate the effectiveness of these generators to generate representative AS-level topologies. Our conclusions are mixed. Although they (mostly) do a reasonable job at capturing the power law exponent, they do less well in capturing the clustering phenomena exhibited by the Internet topology. Based on these results, we propose a variation of the recent incremental topology generator of R. Albert and A. Barabasi (see Phys. Rev. Letters, vol.85, p.5234-7, 2000) that is more successful at matching the power law exponent and the clustering behavior of the Internet. Last, we comment on the small world behavior of the Internet topology.
  • Keywords
    Internet; graph theory; network topology; Internet topology; WWW induced graph; clustering phenomena; node degree; power law graphs; power law topology generators; Algorithm design and analysis; Clustering algorithms; Computer science; Convergence; Internet; Network topology; Power generation; Protocols; Web sites; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
  • ISSN
    0743-166X
  • Print_ISBN
    0-7803-7476-2
  • Type

    conf

  • DOI
    10.1109/INFCOM.2002.1019309
  • Filename
    1019309