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Article detail · 2011

An Evolutionary Genetic Algorithm for Optimization of Distributed Database Queries

Journal

The Computer Journal

ISSN 0010-4620

The ISSN points to another catalog journal; the name is from the YÖKSİS record.

YÖKSİS OpenAlex Open access · green SJR Q1 JCR Q2 Citations 56 Top 10% Percentile 91.7% FWCI 3.16
Year
2011
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue The Computer Journal
  • Catalog match (ISSN) Computer Journal
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

High-performance low-cost PC hardware and high-speed LAN/WAN technologies make distributed database (DDB) systems an attractive research area where query optimization and DDB design are the two important and related problems. Since dynamic programming is not feasible for optimizing queries in a DDB, we propose a new genetic algorithm (GA)-based query optimizer (new genetic algorithm (NGA)) and compare its performance with random and optimal (exhaustive) algorithms. We perform experiments on a synthetic database with replicated relations, but no horizontal or vertical fragmentation. Network links are assumed to be gigabit ethernet. Comparisons with optimal results show that our NGA formulation performs only 20% of the optimal results and we have achieved 50% improvement over a previous GA-based algorithm.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

56 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. ENDER SEVİNÇ ANKARA BİLİM ÜNİVERSİTESİ
  2. AHMET COŞAR ORTA DOĞU TEKNİK ÜNİVERSİTESİ