A unified analysis of batched searching of sequential and tree-structured files

  • Authors:
  • Sheau-Dong Lang;James R. Driscoll;Jiann H. Jou

  • Affiliations:
  • Univ. of Central Florida, Orlando;Univ. of Central Florida, Orlando;Solus Systems, Inc., Lake Oswego, OR

  • Venue:
  • ACM Transactions on Database Systems (TODS)
  • Year:
  • 1989

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Abstract

A direct and unified approach is used to analyze the efficiency of batched searching of sequential and tree-structured files. The analysis is applicable to arbitrary search distributions, and closed-form expressions are obtained for the expected batched searching cost and savings. In particular, we consider a search distribution satisfying Zipf's law for sequential files and four types of uniform (random) search distribution for sequential and tree-structured files. These results unify and extend earlier research on batched searching and estimating block accesses for database systems.