• DocumentCode
    3407544
  • Title

    How to model an internetwork

  • Author

    Zegura, Ellen W. ; Calvert, Kenneth L. ; Acharjee, Samrat Bhatt

  • Author_Institution
    Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    24-28 Mar 1996
  • Firstpage
    594
  • Abstract
    Graphs are commonly used to model the structure of internetworks, for the study of problems ranging from routing to resource reservation. A variety of graph models are found in the literature, including regular topologies such as rings or stars, “well-known” topologies such as the original ARPAnet, and randomly generated topologies. Less common is any discussion of how closely these models correlate with real network topologies. We consider the problem of efficiently generating graph models that accurately reflect the topological properties of real internetworks. We compare the properties of graphs generated using various methods with those of real internets. We also propose efficient methods for generating topologies with particular properties, including a transit-stub model that correlates well with the internet structure. Improved models for the internetwork structure have the potential to impact the significance of simulation studies of internetworking solutions, providing a basis for the validity of the conclusions
  • Keywords
    graph theory; internetworking; network topology; telecommunication network routing; correlation; internetwork model; internetwork structure; internetworking solutions; network topologies; random graph models; resource reservation; rings; routing; simulation studies; stars; topological properties; transit-stub model; Algorithm design and analysis; Educational institutions; Internet; Internetworking; Multicast algorithms; Network topology; Routing; Telecommunication traffic; Traffic control; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM '96. Fifteenth Annual Joint Conference of the IEEE Computer Societies. Networking the Next Generation. Proceedings IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-166X
  • Print_ISBN
    0-8186-7293-5
  • Type

    conf

  • DOI
    10.1109/INFCOM.1996.493353
  • Filename
    493353