• DocumentCode
    514995
  • Title

    Approaches in Evaluations of Internet Topology Modeling

  • Author

    Xu, Ye ; Wang, Zhuo

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    31
  • Lastpage
    34
  • Abstract
    An effective approach to evaluate Internet topology model was mainly studied in this paper. SLS (Signless Laplacian Spectra), is used to quantitatively identify the topology properties of the Internet generated by the model and the Internet out of real measuring. SLS eigenvectors could be gained out of this procedure, then a cross-correlation algorithm was performed on the eigenvectors to give the difference identification in a quantitative way. With this, a specific way of using the estimation approach within a Genetic Algorithm was finally given.
  • Keywords
    Internet; eigenvalues and eigenfunctions; genetic algorithms; graph theory; telecommunication network topology; Internet topology modeling; cross-correlation algorithm; eigenvector; genetic algorithm; graph eigenvalues; signless Laplacian spectra; Computer science education; Eigenvalues and eigenfunctions; Erbium; Graph theory; IP networks; Internet; Laser sintering; Network topology; Symmetric matrices; Testing; Internet topology evaluation; Spectra; complex networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.165
  • Filename
    5460076