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Mobile Join Algorithms based on Mobiles Agents for Large Scale Distributed Query Optimization

by Mohammad Hussein
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 1
Year of Publication: 2012
Authors: Mohammad Hussein
10.5120/ijais12-450656

Mohammad Hussein . Mobile Join Algorithms based on Mobiles Agents for Large Scale Distributed Query Optimization. International Journal of Applied Information Systems. 4, 1 ( September 2012), 54-68. DOI=10.5120/ijais12-450656

@article{ 10.5120/ijais12-450656,
author = { Mohammad Hussein },
title = { Mobile Join Algorithms based on Mobiles Agents for Large Scale Distributed Query Optimization },
journal = { International Journal of Applied Information Systems },
issue_date = { September 2012 },
volume = { 4 },
number = { 1 },
month = { September },
year = { 2012 },
issn = { 2249-0868 },
pages = { 54-68 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number1/269-0656/ },
doi = { 10.5120/ijais12-450656 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:46:53.557071+05:30
%A Mohammad Hussein
%T Mobile Join Algorithms based on Mobiles Agents for Large Scale Distributed Query Optimization
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 1
%P 54-68
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the large scale distributed environment, the query optimization presents new problems because of the data unavailability, the estimations inaccuracies and environment instability. In this paper, we address the sub-optimality of executions plans caused by these problems. We propose to extend the join algorithms based on mobile agents in order to correct the sub-optimality. This extension allows the join to change their execution site. Indeed, the mobile agent executing a join adapts to changes in characteristics of the execution environment (e. g. network bandwidth, available memory) and responds to the estimations inaccuracies (e. g. size of intermediate relations). The performance evaluation shows that the proposed algorithms improve the response time whatever the variation of estimations errors.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed data bases systems Query optimization mobile agents Data integration

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