A study on workload-aware wavelet synopses for point and range-sum queries

  • Authors:
  • Michael Mathioudakis;Dimitris Sacharidis;Timos Sellis

  • Affiliations:
  • University of Toronto;National Technical University of Athens;National Technical University of Athens

  • Venue:
  • DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
  • Year:
  • 2006

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Abstract

In this paper we perform an extensive theoretical and experimental study on common synopsis construction algorithms, with emphasis on wavelet based techniques, that take under consideration query workload statistics. Our goal is to compare, "expensive" quadratic time algorithms with "cheap" near-linear time algorithms, particularly when the latter are not optimal and/or not workload-aware for the problem at hand. Further, we present the first known algorithm for constructing wavelet synopses for a special class of range-sum query workloads. Our experimental results, clearly justify the necessity for designing workload-aware algorithms, especially in the case of range-sum queries.