• DocumentCode
    3065037
  • Title

    Leveraging on High-Performance Computing and Cloud Technologies in Digital Libraries: A Case Study

  • Author

    Wittek, Peter ; Daranyi, S.

  • Author_Institution
    Swedish Sch. of Libr. & Inf. Sci., Univ. of Boras, Boras, Sweden
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    606
  • Lastpage
    611
  • Abstract
    With the emergence of high-performance computing instances in the cloud, massive scale computations have become available to technically every organization. Digital libraries typically employ a data-intensive infrastructure, but given the resources, advanced services based on data and text mining could be developed. A fundamental issue is the ease of development and integration of such services. We demonstrate the feasibility by providing a case study on a visual machine learning algorithm with MapReduce running in the cloud in a small cluster.
  • Keywords
    cloud computing; data mining; digital libraries; learning (artificial intelligence); text analysis; MapReduce; cloud technologies; data mining; data-intensive infrastructure; digital libraries; high-performance computing; text mining; visual machine learning; Computers; Context; Hardware; Indexing; Libraries; Neurons; Vectors; Cloud Computing; Digital Libraries; High-performance Computing; MapReduce; Self-organizing Maps; Topic Modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4673-0090-2
  • Type

    conf

  • DOI
    10.1109/CloudCom.2011.93
  • Filename
    6133202