• DocumentCode
    2235244
  • Title

    The location selection for CCN router based on the network centrality

  • Author

    Jianfeng Guan ; Wei Quan ; Changqiao Xu ; Hongke Zhang

  • Author_Institution
    State Key Lab. of Network & Switch Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    568
  • Lastpage
    582
  • Abstract
    Content-Centric Network (CCN) as one of the well-known Information Center Network (ICN) solutions has been getting more and more research recently. Different to the traditional Internet which is designed to connect the different terminals, CCN mainly focuses on the content delivery by enhancing the cache function of routers. However, in case of the interworking between the CCN and traditional Internet, we should carefully select the locations of CCN routers so that all the end users can get the better performance. So in this paper, we propose an evaluation metric called average content acquirement time based on the complex network centralities including the degree centrality, closeness centrality, betweenness centrality and eigenvector centrality to selection the location to acquire the tradeoff between deployment cost and service performance. We evaluate the average content acquirement time under different network centralities, and the results shows that the betweenness centrality has the better performance than others, and it can be used as a metric to select the location of CCR routers.
  • Keywords
    Internet; telecommunication network routing; CCN router; Internet; closeness centrality; content-centric network; degree centrality; deployment cost; evaluation metric; information center network solutions; location selection; network centralities; network centrality; service performance; Barium; Internet; Measurement; Network topology; Routing; Routing protocols; Social network services; CCN; Location selection; network centrality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664240
  • Filename
    6664240