• DocumentCode
    243617
  • Title

    R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment

  • Author

    Shan Huang ; Botao Wang ; Jingyang Zhu ; Guoren Wang ; Ge Yu

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    14-14 Dec. 2014
  • Firstpage
    569
  • Lastpage
    574
  • Abstract
    It has become a challenge to organize and process large scale multi-dimensional data. In this paper, we present R-HBase, a multi-dimensional indexing framework for cloud computing environment. The R-HBase framework consists of storage layer and index layer. The storage layer supports high throughput and the index layer answers query efficiently. R-HBase is evaluated with synthetic data. R-HBase can handle tens of thousands of inserts per second, while efficiently processing multi-dimensional queries. The results also show that R-HBase is faster than MD-HBase and at the same time R-HBase supports multi-dimensional queries with the number of dimensions more than three.
  • Keywords
    cloud computing; database indexing; query processing; storage management; R-HBase; cloud computing environment; high throughput; index layer; large scale multidimensional data organization; large scale multidimensional data processing; multidimensional indexing framework; multidimensional query processing; query answering; storage layer; synthetic data; Cloud computing; Electronic mail; Generators; Indexing; Throughput; Time factors; Cloud Computing; HBase; Multi-Dimension; R-Tree; Space Filling Curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4799-4275-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2014.46
  • Filename
    7022647