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