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
Link To Document