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Reducing Execution Time of Distributed SELECT Query in Heterogeneous Distributed Database using Genetic Algorithm

by Nikhil S. Gajjam, S. S. Apte
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 7
Year of Publication: 2014
Authors: Nikhil S. Gajjam, S. S. Apte
10.5120/17539-8119

Nikhil S. Gajjam, S. S. Apte . Reducing Execution Time of Distributed SELECT Query in Heterogeneous Distributed Database using Genetic Algorithm. International Journal of Computer Applications. 100, 7 ( August 2014), 34-38. DOI=10.5120/17539-8119

@article{ 10.5120/17539-8119,
author = { Nikhil S. Gajjam, S. S. Apte },
title = { Reducing Execution Time of Distributed SELECT Query in Heterogeneous Distributed Database using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 7 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number7/17539-8119/ },
doi = { 10.5120/17539-8119 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:21.537937+05:30
%A Nikhil S. Gajjam
%A S. S. Apte
%T Reducing Execution Time of Distributed SELECT Query in Heterogeneous Distributed Database using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 7
%P 34-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Centralized unit that coordinates different types of schema running on multiple sites is getting importance now-a-days. Heterogeneous Distributed Database System (HDDS) is the collection of multiple different databases management systems running on multiple systems that are linked together. Query processing is complicated in such cases. In this work we concentrate on utilizing Genetic Algorithm for finding optimized query execution plan for distributed SELECT queries. Selecting the right set of plans for queries using Genetic Algorithm which minimizes the total execution time is the major goal of this work. Replication of schema is used in this work which gives multiple solutions for retrieval of the data. We used Chromosome for specifying plan for query. Chromosome structures consist of combination of data site and join order. Aglet, Mobile agent, is used to connect all the database servers with centralized server. By implementing this, we get the optimized plan for the select query.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Heterogeneous Distributed Database Genetic Algorithm Aglet.

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