• DocumentCode
    2444289
  • Title

    Node Compression Techniques Based on Cache-Sensitive B+-Tree

  • Author

    Jin, Rize ; Chung, Tae-Sun

  • Author_Institution
    Inf. & Comput. Eng., Ajou Univ., Suwon, South Korea
  • fYear
    2010
  • fDate
    18-20 Aug. 2010
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    Cache-conscious indices have been researched for a decade. These index structures can enhance data locality and reduce cache misses. Cache-Sensitive B+-tree (CSB+-tree) is a state-of-the-art, high performance index tree for main-memory database systems. However, in the worst case, the space utilization of CSB+-tree can fall to 25%. The main contribution of this paper is to improve space efficiency of CSB+-tree by using compression mechanisms. We have conducted experimental studies. Results show that the compressed CSB+-trees can yield significant space savings with additional benefits for search and delete operations by utilizing the superiority of modern hardware.
  • Keywords
    cache storage; data compression; trees (mathematics); cache-sensitive B+-tree; data locality; main-memory database systems; node compression techniques; Clocks; Computers; Encoding; Hardware; Indexes; Memory management; Random access memory; CSB+-tree; cache-conscious; compression; index structure; main-memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
  • Conference_Location
    Yamagata
  • Print_ISBN
    978-1-4244-8198-9
  • Type

    conf

  • DOI
    10.1109/ICIS.2010.9
  • Filename
    5593131