• DocumentCode
    151474
  • Title

    Bloom filter based optimization on HBase with MapReduce

  • Author

    Bhushan, Mani ; Banerjea, Shashwati ; Yadav, Santosh Kumar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad, India
  • fYear
    2014
  • fDate
    5-6 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In recent time, HBase is growing with its requirement as data exploding in E-world. Hadoop provide distributed manner and taking technology to next level as it is using HBase to store bulk data. HBase works with Hadoop to transfer data to datanodes. As traditionally large file need to split for performing operations but MapReduce provide facility to do operations on single file. This paper providing concept to reduce traffic of data on network with efficient manner through probabilistic model of Bloom filter. Instead of taking whole data, Bloom filter is providing join operation only with array data structure by developing global filter.
  • Keywords
    data structures; parallel programming; statistical analysis; Bloom filter based optimization; HBase; MapReduce; e-world; join operation; probabilistic model; Arrays; Big data; Databases; Facebook; Real-time systems; Servers; Big Data; Bloom filter; Hadoop; MapReduce;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-4675-4
  • Type

    conf

  • DOI
    10.1109/ICDMIC.2014.6954230
  • Filename
    6954230