Parallel searching for binary Cartesian product files

  • Authors:
  • Yuan Y. Sung

  • Affiliations:
  • Department of Information Systems and Computer Science, National University of Singapore, Kent Ridge, Singapore 0511

  • Venue:
  • CSC '85 Proceedings of the 1985 ACM thirteenth annual conference on Computer Science
  • Year:
  • 1985

Quantified Score

Hi-index 0.01

Visualization

Abstract

The problem of distributing buckets in a file among m disks to facilitate parallel searching for a set of queries is analysed in this paper. We are particularly concerned with the file distribution problem for binary Cartesian product files, and partial match queries. A method is proposed and shown to be strict optimal under certain conditions. The performance of the proposed method is compared with those of an “ideal” strict optimal and Du's heuristic allocation method.