• DocumentCode
    122558
  • Title

    The smart distribution of social media contents

  • Author

    Banditwattanawong, Thepparit ; Masdisornchote, Masawee ; Uthayopas, Putchong

  • Author_Institution
    Sch. of Inf. Technol., Sripatum Univ., Bangkok, Thailand
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Today´s data such as social media contents and archive of digital contents gathered via ubiquitous devices have been hosted on cloud and being shared in a distribution manner. This causes network link congestions, delayed cloud services and increases in public cloud data-out charges. Simulations have demonstrated that deploying our approach, i-Cloud, as the core mechanism of cloud cache could alleviate these problems up to 17.24% byte-hit and cost-saving, 17.96% delay-saving and 29.33% cache hit outperforming the other well-known approaches. A main finding was that there is no significant performance difference between i-Cloud learning single-user-community patterns and i-Cloud learning cross-user-community patterns of comparable sizes.
  • Keywords
    cache storage; cloud computing; social networking (online); ubiquitous computing; cloud cache; cost-saving; delay-saving; delayed cloud services; digital contents; i-cloud learning cross-user-community patterns; i-cloud learning single-user-community patterns; network link congestions; public cloud data-out charges; smart distribution; social media contents; ubiquitous devices; Media; World Wide Web; Cloud cache; artificial neural network; contemporaneous proximity; cost-saving ratio; window size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering Congress (iEECON), 2014 International
  • Conference_Location
    Chonburi
  • Type

    conf

  • DOI
    10.1109/iEECON.2014.6925834
  • Filename
    6925834