• DocumentCode
    3249972
  • Title

    Mass data storage system for campus network based on cloud computing

  • Author

    Gao Xin-cheng ; Li Chun-sheng

  • Author_Institution
    Modern Educ. Tech. Center, Northeast Pet. Univ., Daqing, China
  • fYear
    2012
  • fDate
    14-17 July 2012
  • Firstpage
    226
  • Lastpage
    230
  • Abstract
    With network developed quickly and used widely, how to store mass data has become a problem we have to face. Traditional methods usually add more servers into to increase computing speed and storage ability, while the hardware cost is very expensive and the storage efficiency is low. Through deep study of MapReduce programming model and Hadoop framework, this paper presented a mass data storage model based on Hadoop framework, then we designed and implemented a mass data storage system for campus network based on cloud computing. This system can effectively solved issues in mass data storage management in teaching and study. This system is cheap, easily operated, fast dealing and stable.
  • Keywords
    cloud computing; computer networks; data handling; Hadoop framework; MapReduce programming model; campus network; cloud computing; computer network technology; mass data storage system; Cloud computing; Computational modeling; Computer architecture; Data models; Distributed databases; Memory; Servers; Hadoop; MapReduce; cloud computing; distributed computing; storage model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2012 7th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-0241-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.6295063
  • Filename
    6295063