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Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications
An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems
Montreal, Canada
October 10-October 11
ISBN: 0-7695-2462-1
ASCII Text
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Ton Oguara, Dan Chen, Georgios Theodoropoulos, Brian Logan, Michael Lees, "An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems," Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on, pp. 179-186, Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications, 2005.
 
 
BibTex
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@article{ 10.1109/DISTRA.2005.9,
author = {Ton Oguara and Dan Chen and Georgios Theodoropoulos and Brian Logan and Michael Lees},
title = {An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems},
journal ={Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on},
volume = {0},
year = {2005},
isbn = {0-7695-2462-1},
pages = {179-186},
doi = {http://doi.ieeecomputersociety.org/10.1109/DISTRA.2005.9},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on
TI - An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems
SN - 0-7695-2462-1
SP179
EP186
A1 - Ton Oguara,
A1 - Dan Chen,
A1 - Georgios Theodoropoulos,
A1 - Brian Logan,
A1 - Michael Lees,
PY - 2005
KW - null
VL - 0
JA - Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on
ER -
 
Ton Oguara, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK
Dan Chen, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK
Georgios Theodoropoulos, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK
Brian Logan, School of Computer Science and Information Technology University of Nottingham, Nottingham NG8 1BB, UK
Michael Lees, School of Computer Science and Information Technology University of Nottingham, Nottingham NG8 1BB, UK

The paper presents a load management mechanism for distributed simulations of multi-agent systems. The mechanism minimises the cost of accessing the shared state in the distributed simulation by dynamically redistributing shared state variables according to the access pattern of the simulation model. To evaluate the effectiveness and performance of the mechanism, a series of benchmark experiments were performed using the PDES-MAS framework for distributed simulation of multi-agent systems. Although preliminary, the results indicate that the proposed mechanism signi.- cantly reduces the overall access cost of the system.

Citation:
Ton Oguara, Dan Chen, Georgios Theodoropoulos, Brian Logan, Michael Lees, "An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems," ds-rt, pp.179-186, Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications, 2005
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