Title :
A Traffic Modeling Method for MMOG
Author :
Xiang-bin, Shi ; Ling, Du ; Fang, Liu ; Bao-long, Li ; Xian-min, Chen
Author_Institution :
Dept. of Comput. Sci. & Eng., Shenyang Inst. of Aeronaut. Eng., Shenyang
Abstract :
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.
Keywords :
computer games; least mean squares methods; MMOG; game traffic modeling; least square method; massively multiplayer online games; Artificial intelligence; Computer errors; Curve fitting; Data analysis; Least squares methods; Probability density function; Shape; Software engineering; Telecommunication traffic; Traffic control;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3263-9
DOI :
10.1109/SNPD.2008.35