• DocumentCode
    1611688
  • Title

    Use of Network Families in Survivable Network Design and Optimization

  • Author

    Todd, Brody ; Doucette, John

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Alberta, Edmonton, AB
  • fYear
    2008
  • Firstpage
    151
  • Lastpage
    157
  • Abstract
    In modeling communication networks for simulation of survivability schemes, one goal is often to design these networks across varying degrees of nodal connectivity to get unbiased performance results. Abstractions of real networks, simple random networks, and families of networks are the most common categories of these sample networks. This paper looks at how using the network family concept provides a solid unbiased foundation to compare different network protection models. The network family provides an advantage over random networks by requiring one solution per average nodal degree, as opposed to have to solve many, which could take a significant amount of time. Also, because the network family looks at a protection scheme across a variety of average nodal connectivities, a clearer picture of the scheme´s performance is gained compared to just running the simulation on a single network.
  • Keywords
    graph theory; network theory (graphs); optical fibre networks; telecommunication network reliability; telecommunication network topology; average nodal connectivity; network protection model; optical communication network; random network; survivable network design; survivable network optimization; Communication networks; Communications Society; Design optimization; Mechanical engineering; Optical fiber cables; Optical fiber communication; Protection; Signal restoration; Solids; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.36
  • Filename
    4533072