Latest revision as of 20:19, 1 February 2021

Abstract

Modeling traffic generated by Internet based multiplayer computer games has attracted a great deal of attention in the past few years. In part this has been driven by a need to simulate correctly the network impact of highly interactive online game genres such as the first person shooter (FPS). Packet size distributions and autocorrelation models are important elements in the creation of realistic traffic generators for network simulators such as ns-2 and OMNET++. In this paper we show that ARMA(1,1) models capture the time series behaviour of Quake4 game traffic well. We also show that the random component of the ARMA models (the innovations) have distributions that appear to change little as the number of players increases.

Original document

The different versions of the original document can be found in:

• http://dl.acm.org/ft_gateway.cfm?id=1326270&ftid=485045&dwn=1,

http://dx.doi.org/10.1145/1326257.1326270

• (Published version).pdf https://researchbank.swinburne.edu.au/file/465431f4-2756-4e92-9949-583a49c34884/1/PDF (Published version).pdf,

https://core.ac.uk/display/36884755,

https://dblp.uni-trier.de/db/conf/netgames/netgames2007.html#CricentiB07,

https://doi.acm.org/10.1145/1326257.1326270,

https://dl.acm.org/citation.cfm?doid=1326257.1326270,

http://portal.acm.org/citation.cfm?doid=1326257.1326270,

https://dl.acm.org/citation.cfm?id=1326270,

https://doi.org/10.1145/1326257.1326270,

https://academic.microsoft.com/#/detail/2052318097

• (Published version).pdf https://researchbank.swinburne.edu.au/file/465431f4-2756-4e92-9949-583a49c34884/1/PDF (Published version).pdf