• DocumentCode
    2595656
  • Title

    Approaches of Spectra in Evaluations of Internet Topology Graph

  • Author

    Zhu, Bin ; Xu, Ye

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    297
  • Lastpage
    300
  • Abstract
    A way of evaluation of a topology structure model, especially the Internet topology structure model, was studied. 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; estimation theory; genetic algorithms; graph theory; Internet topology graph; SLS eigenvectors; cross correlation algorithm; estimation approach; genetic algorithm; signless laplacian spectra; spectral approaches; topology structure model evaluation; Eigenvalues and eigenfunctions; Graph theory; IP networks; Information security; Internet; Laser sintering; Mathematical model; Network topology; Symmetric matrices; Wireless communication; Assessment approaches; Spectral density; Topology model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-4011-5
  • Electronic_ISBN
    978-1-4244-6598-9
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2010.204
  • Filename
    5480683