loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
14th International Workshop on Database and Expert Systems Applications (DEXA'03)
Mobile Agent Cooperation Methods for Large Scale Distributed Dynamic Query Optimization
Prague, Czech Republic
September 01-September 05
ISBN: 0-7695-1993-8
ASCII Text
x 
 
F. Morvan, M. Hussein, A. Hameurlain, "Mobile Agent Cooperation Methods for Large Scale Distributed Dynamic Query Optimization," Database and Expert Systems Applications, International Workshop on, pp. 542, 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/DEXA.2003.1232079,
author = {F. Morvan and M. Hussein and A. Hameurlain},
title = {Mobile Agent Cooperation Methods for Large Scale Distributed Dynamic Query Optimization},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2003},
issn = {1529-4188},
pages = {542},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2003.1232079},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Mobile Agent Cooperation Methods for Large Scale Distributed Dynamic Query Optimization
SN - 1529-4188
SP
EP
A1 - F. Morvan,
A1 - M. Hussein,
A1 - A. Hameurlain,
PY - 2003
KW - null
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
F. Morvan, Institute de Recherche en Informatique de Toulouse IRIT, Universit? Paul Sabatier
M. Hussein, Institute de Recherche en Informatique de Toulouse IRIT, Universit? Paul Sabatier
A. Hameurlain, Institute de Recherche en Informatique de Toulouse IRIT, Universit? Paul Sabatier
In this paper, we study the contribution of the execution model based on mobile agents to the distributed dynamic query optimization. We propose three cooperation methods allowing to the agents, reacting to the estimation errors, to move during the runtime. The performance evaluation shows the superiority of one of these methods. It is more powerful than a standard execution starting from 30 % of estimation error and has a relatively small overhead compared to a standard execution when the estimation error is small.
Citation:
F. Morvan, M. Hussein, A. Hameurlain, "Mobile Agent Cooperation Methods for Large Scale Distributed Dynamic Query Optimization," dexa, pp.542, 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.