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2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
A Traffic Modeling Method for MMOG
August 06-August 08
ISBN: 978-0-7695-3263-9
ASCII Text
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Shi Xiang-bin, Du Ling, Liu Fang, Li Bao-long, Chen Xian-min, "A Traffic Modeling Method for MMOG," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, pp. 907-911, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008.
 
 
BibTex
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@article{ 10.1109/SNPD.2008.35,
author = {Shi Xiang-bin and Du Ling and Liu Fang and Li Bao-long and Chen Xian-min},
title = {A Traffic Modeling Method for MMOG},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3263-9},
pages = {907-911},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2008.35},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - A Traffic Modeling Method for MMOG
SN - 978-0-7695-3263-9
SP907
EP911
A1 - Shi Xiang-bin,
A1 - Du Ling,
A1 - Liu Fang,
A1 - Li Bao-long,
A1 - Chen Xian-min,
PY - 2008
KW - null
VL - 0
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
The traditional method of fitting data is Least Square, but this method can not model the main part of game traffic targetedly, so that the error is bigger while the number of players is increasing. In this paper, the game traffic is divided into four sections according to the density of data, each section is given a different weight, and Relative Error of Least Square is used for modeling. The experiment results show that this method can model game traffic effectively and reduce data error for the main part of game traffic, so it is more suitable for modeling the game traffic.
Citation:
Shi Xiang-bin, Du Ling, Liu Fang, Li Bao-long, Chen Xian-min, "A Traffic Modeling Method for MMOG," snpd, pp.907-911, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008
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