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
Link To Document