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Selection of structures with grid optimization, in multiagent data warehouse

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

The query optimization problem in data base and data warehouse management systems is quite similar. Changes to Joins sequences, projections and selections, usage of indexes, and aggregations are all decided during the analysis of an execution schedule. The main goal of these changes is to decrease the query response time. The optimization operation is often dedicated to a single node. This paper proposes optimization to grid or cluster data warehouses / databases. Tests were conducted in a multi-agent environment, and the optimization focused not only on a single node but on the whole system as well. A new idea is proposed here with multi-criteria optimization that is based on user-given parameters. Depending on query time, result admissible errors, and the level of system usage, task results were obtained along with grid optimization.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings
Pages292-299
Number of pages8
DOIs
Publication statusPublished - 2010
Event11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010 - Paisley, United Kingdom
Duration: 1 Sept 20103 Sept 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6283 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010
Country/TerritoryUnited Kingdom
CityPaisley
Period1/09/103/09/10

Keywords

  • Approximate results
  • DWS
  • Data warehouse
  • GRID
  • MAS
  • MGO
  • OLAP

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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