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
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;
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
DOI :
10.1109/ETCS.2010.165