• DocumentCode
    2985262
  • Title

    Tuple MapReduce: Beyond Classic MapReduce

  • Author

    Ferrera, P. ; de Prado, I. ; Palacios, Elvia ; Fernandez-Marquez, Jose Luis ; Di Marzo Serugendo, Giovanna

  • Author_Institution
    Datasalt Syst. S.L., Barcelona, Spain
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    260
  • Lastpage
    269
  • Abstract
    This paper proposes Tuple Map Reduce, a new foundational model extending Map Reduce with the notion of tuples. Tuple Map Reduce allows to bridge the gap between the low-level constructs provided by Map Reduce and higher-level needs required by programmers, such as compound records, sorting or joins. This paper presents as well Pangool, an open-source framework implementing Tuple Map Reduce. Pangool eases the design and implementation of applications based on Map Reduce and increases their flexibility, still maintaining Hadoop´s performance.
  • Keywords
    distributed programming; public domain software; Hadoop; Pangool; compound records; foundational model; low-level constructs; open-source framework; tuple MapReduce; Companies; Compounds; Computational modeling; Data models; Mathematical model; Programming; Sorting; Big Data; Distributed systems; Hadoop; MapReduce; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining (ICDM), 2012 IEEE 12th International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1550-4786
  • Print_ISBN
    978-1-4673-4649-8
  • Type

    conf

  • DOI
    10.1109/ICDM.2012.141
  • Filename
    6413897