Persistently Cached B-Trees

  • Authors:
  • Kazuhiko Kato

  • Affiliations:
  • IEEE Computer Society

  • Venue:
  • IEEE Transactions on Knowledge and Data Engineering
  • Year:
  • 2003

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Abstract

This paper presents an approach to enhancing B-tree indexing performance by using a replication technique called persistent caching. A notable feature of the approach is its compatibility with ordinary B-Trees; it exploits only the otherwise unused area of each B-Tree page, and the basic behavior of B-Trees need not be changed. This paper evaluates the performance of persistently cached B-trees by showing the result of mathematical analysis and of experimental investigations.