• DocumentCode
    167577
  • Title

    Research on big data information retrieval based on hadoop architecture

  • Author

    Chen Jie ; Chen Dongjie ; Huang Bangming

  • Author_Institution
    Commun. & Inf. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    492
  • Lastpage
    495
  • Abstract
    In recent years, due to the growing popularity of the human network behavior, we meet the new generation of big data era. This makes the emergence of characteristics that large data storage capacity and fast business growth. For large storage capacity, instability, low retrieval time caused by large data information, this paper demonstrate a distributed storage and server clustering approach to solve the problem of tradition storage capacity, high-availability of retrieval and servers. For the arrival of the era of big data, how to improve the retrieval time, the storage capacity and stability of system, these provide for the future construction of a guiding role.
  • Keywords
    Big Data; distributed processing; information retrieval; pattern clustering; storage management; Big Data era; Big Data information retrieval; Hadoop architecture; business growth; data storage capacity; distributed storage approach; human network behavior; retrieval time; server clustering approach; Google; big data; retrieval time; storage capacity; system stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845665
  • Filename
    6845665