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 :
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