• DocumentCode
    3310866
  • Title

    Efficient historical R-trees

  • Author

    Tao, Yufei ; Papadias, Dimitris

  • Author_Institution
    Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Clear Water Bay, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    223
  • Lastpage
    232
  • Abstract
    The historical R-tree (HR-tree) is a spatio-temporal access method aimed at the retrieval of window queries in the past. The concept behind the method is to keep an R-tree for each timestamp in history, but to allow consecutive trees to share branches when the underlying objects do not change. New branches are only created to accommodate updates from the previous timestamp. Although existing implementations of HR-trees process timestamp (window) queries very efficiently, they are hardly applicable in practice due to excessive space requirements and poor interval query performance. This paper addresses these problems by proposing the HR+-tree, which occupies a small fraction of the space required for the corresponding HR-tree (for typical conditions about 20%), while improving interval query performance several times. Our claims are supported by extensive experimental evaluation
  • Keywords
    query processing; software performance evaluation; temporal databases; tree data structures; HR+-tree; HR-trees; efficiency; historical R-trees; interval query performance; space requirements; spatio-temporal access method; timestamps; tree branch sharing; updates; window query retrieval; Computer science; Concrete; History; Indexing; Information retrieval; Spatial databases; System performance; Windows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings. Thirteenth International Conference on
  • Conference_Location
    Fairfax, VA
  • ISSN
    1099-3371
  • Print_ISBN
    0-7695-1218-6
  • Type

    conf

  • DOI
    10.1109/SSDM.2001.938554
  • Filename
    938554