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2006 First International Multi-Symposiums on Computer and Computational Sciences
A New Persistence Framework for Parallel and Distributed Simulation
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
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Haiquan Qiao, Rusheng Ju, Ge Li, Kedi Huang, "A New Persistence Framework for Parallel and Distributed Simulation," Computer and Computational Sciences, International Multi-Symposiums on, vol. 1, pp. 344-348, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.16,
author = {Haiquan Qiao and Rusheng Ju and Ge Li and Kedi Huang},
title = {A New Persistence Framework for Parallel and Distributed Simulation},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {1},
year = {2006},
isbn = {0-7695-2581-4},
pages = {344-348},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - A New Persistence Framework for Parallel and Distributed Simulation
SN - 0-7695-2581-4
SP344
EP348
A1 - Haiquan Qiao,
A1 - Rusheng Ju,
A1 - Ge Li,
A1 - Kedi Huang,
PY - 2006
VL - 1
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Haiquan Qiao, National University of Defense Technology, China
Rusheng Ju, National University of Defense Technology, China
Ge Li, National University of Defense Technology, China
Kedi Huang, National University of Defense Technology, China
Persistence is used not only in load-balancing systems but also in simulation checkpoint and restart, and it is very important in parallel and distributed simulation. SPEEDES Persistence Framework (SPF) is a layer of the proposed Standard Simulation Architecture (SSA), and Boost Serialization Library is a library of Boost for persistence. This paper first describes these two framework, and then applies them in a parallel and distributed system. The user friendliness and performance of SPF and BSL are evaluated and analyzed, at last the conclusion is given that BSL is a more suitable persistence framework for parallel and distributed simulation.
Citation:
Haiquan Qiao, Rusheng Ju, Ge Li, Kedi Huang, "A New Persistence Framework for Parallel and Distributed Simulation," imsccs, vol. 1, pp.344-348, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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