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Horizontal partitioning of very-large data warehouses under dynamically-changing query workloads via incremental algorithms

Bellatreche, Ladjel
•
Bouchakri, Rima
•
CUZZOCREA, Alfredo Massimiliano
•
Maabout, Sofian
2013
  • conference object

Abstract
With the explosion of the size of data warehousing applications, the horizontal data partitioning is well adapted to reduce the cost of complex OLAP queries and the warehouse manageability. It is considered as a non redundant optimization technique. Selecting a fragmentation schema for a given data warehouse is NP-hard problem. Several studies exist and propose heuristics to select near optimal solutions. Most of these heuristics are static, since they assume the existence of a priori known set of queries. Note that in real life applications, queries may change dynamically and fragmentation heuristics need to integrate these changes. In this paper, we propose an incremental selection of fragmentation schemes using on genetic algorithms. Intensive experiments are conducted to validate our proposal.
DOI
10.1145/2480362.2480406
Archivio
http://hdl.handle.net/11368/2896300
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84877950853
Diritti
metadata only access
Soggetti
  • Data warehouse fragme...

  • Data warehouse partit...

  • Heuristic approaches ...

  • Software

Scopus© citazioni
6
Data di acquisizione
Jun 7, 2022
Vedi dettagli
google-scholar
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