• 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