DocumentCode :
256806
Title :
Analysis of the Hierarchical Characteristics of IP-Level Topology Dynamic Node
Author :
Feng Ying ; Zhao Hai
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume :
2
fYear :
2014
fDate :
26-27 Aug. 2014
Firstpage :
338
Lastpage :
341
Abstract :
Internet is a huge artificial life system. Because it´s topology perplexing and large scale and high complexity in the macro level decide study how to understanding and control internet in macroscopic topological level have important significance. As an important topological features, k-core have attracted the most people´s attention, this article based on the k-core as the main line, analysis the massive data from the CAIDA Ark project, show the hierarchical feature of internet IP level top logy. This article first gives the concept of k- core, followed by the research of the network nodes, Birth Node and Death Node probability distribution of the number of nodes, at the end Soreness of adjacent nodes of birth nodes are discussed.
Keywords :
IP networks; Internet; artificial life; statistical distributions; telecommunication network topology; CAIDA Ark project; Internet IP level topology; artificial life system; birth node; death node; dynamic node; hierarchical characteristics; hierarchical feature; k-core; macroscopic topological level; network nodes; probability distribution; topological features; Educational institutions; Evolution (biology); IP networks; Internet; Network topology; Probability distribution; Topology; Average- core; Coreness probability distribution; IP level topology; Max-core; dynamic node;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
Type :
conf
DOI :
10.1109/IHMSC.2014.183
Filename :
6911514
Link To Document :
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