• DocumentCode
    2264691
  • Title

    aSHIIP: Autonomous Generator of Random Internet-like Topologies with Inter-domain Hierarchy

  • Author

    Tomasik, Joanna ; Weisser, Marc-Antoine

  • Author_Institution
    Syst. Sci. (E3S), SUPELEC, Gif-sur-Yvette, France
  • fYear
    2010
  • fDate
    17-19 Aug. 2010
  • Firstpage
    388
  • Lastpage
    390
  • Abstract
    Numerous studies based on complex measurement platforms have been carried out for over ten years now in order to discover the Internet topology on domain level. It turns out that this topology exhibits certain invariant properties such as a distribution of node degree. This distribution follows a power law. Moreover, the revealed topology is hierarchical. The hierarchy is caused by commercial contracts signed between domain operators. The routing realized by BGP is influenced by these relationships because operators do not want to make public the routes they know, as announcing certain routes would deprive them of a possible financial benefit. Consequently, routes available in BGP tables are valley-free. This fact has an impact on the performance of protocols which are proposed notably to assure the QoS. In order to evaluate the performance of new protocols in the inter-domain context their designers have to have at their disposal a random topology generator which is able to furnish a random graph whose nodes´ degree follows a power law typical for the Internet, and to impose the commercial hierarchy on it. Our a SHIIP (autonomous Supelec Hierarchy Inter-domain Program) does both. It is a reliable flat Internet-like topology generator which also allows the modeler to introduce the realistic hierarchy.
  • Keywords
    Internet; performance evaluation; quality of service; topology; Internet; Internet like topology; QoS; autonomous generator; autonomous supelec hierarchy inter domain program; complex measurement platform; financial benefit; inter domain hierarchy; node degree distribution; performance evaluation; random graph; topology generator; Adaptation model; Generators; Internet topology; Network topology; Peer to peer computing; Topology; inter-domain hierarchy; inter-domain network; random topology generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2010 IEEE International Symposium on
  • Conference_Location
    Miami Beach, FL
  • ISSN
    1526-7539
  • Print_ISBN
    978-1-4244-8181-1
  • Type

    conf

  • DOI
    10.1109/MASCOTS.2010.47
  • Filename
    5581550