• DocumentCode
    3254331
  • Title

    Modeling Hierarchical Caches in Content-Centric Networks

  • Author

    Zixiao Jia ; Peng Zhang ; Jiwei Huang ; Chuang Lin ; Lui, John C. S.

  • Author_Institution
    Tsinghua Nat. Lab. for Inf. Sci. & Technol., Beijing, China
  • fYear
    2013
  • fDate
    July 30 2013-Aug. 2 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Content-Centric Network (CCN) provides a cleanslate design for the Internet, where content becomes the primitive of communications. In CCN, routers are equipped with content stores, which act as caches for frequently requested content. This design enables the Internet to provide content distribution services without any application-layer support. On the other hand, as caches are integrated into routers, the overall performance of CCN will be influenced by the caching efficiency. This paper studies the performance issues of caches in CCN, with the aim to gain some understanding on how caches should be designed to maintain a high performance in a cost-efficient way. Specifically, we use a two-dimensional discrete-time Markov chain to model the two-layer cache hierarchy formed by CCN routers, and develop an efficient algorithm to calculate the hit ratios of these caches. Simulations validate the accuracy of our modeling method, and convey some understanding on cache design in CCN.
  • Keywords
    Internet; Markov processes; telecommunication network routing; CCN routers; Internet; application-layer support; caching efficiency; clean-slate design; content distribution services; content stores; content-centric networks; frequently requested content; hierarchical caches modeling; two-dimensional discrete-time Markov chain; two-layer cache hierarchy; Accuracy; Equations; Internet; Markov processes; Mathematical model; Numerical models; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks (ICCCN), 2013 22nd International Conference on
  • Conference_Location
    Nassau
  • Print_ISBN
    978-1-4673-5774-6
  • Type

    conf

  • DOI
    10.1109/ICCCN.2013.6614153
  • Filename
    6614153