• DocumentCode
    3719195
  • Title

    Cache coherence in Machine-to-Machine Information Centric Networks

  • Author

    Maroua Meddeb;Amine Dhraief;Abdelfettah Belghith;Thierry Monteil;Khalil Drira

  • Author_Institution
    HANA Lab, Univeristy of Manouba, Tunisia
  • fYear
    2015
  • Firstpage
    430
  • Lastpage
    433
  • Abstract
    Information-Centric Networking (ICN) is a new paradigm proposing a shift in the main Internet architecture from a host-centric communication model to a content-centric model. ICN architectures target to meet user demands for accessing the information regardless of its location. A major building block of ICNs concerns caching strategies. Concomitantly, Machine-to-Machine (M2M) technologies are considered the main pattern for the Internet of Things (IoT). Unifying M2M and ICN into a single framework raises the challenge of cache coherence. In this paper, we propose a novel cache coherence mechanism to check the validity of cache contents. We also propose a caching strategy suitable to M2M environment. Extensive experimentations are conducted to evaluate the performance of our proposals. They show that the combination of our two proposed schemes results in a notable improvement in content validity at the expenses of a certain degradation in both server hit and hop reduction ratios.
  • Keywords
    "Coherence","Servers","Internet","Smoothing methods","Delays","Network topology","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks (LCN), 2015 IEEE 40th Conference on
  • Type

    conf

  • DOI
    10.1109/LCN.2015.7366345
  • Filename
    7366345