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Extrapolating server to client IP traffic from empirical measurements of first person shooter games

Published: 30 October 2006 Publication History

Abstract

Modelling 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 desire to properly simulate the network impact of highly interactive online game genres such as the first person shooter (FPS). Packet size distributions are an important element in the creation of plausible traffic generators for network simulators such as ns-2 and omnet++. In this paper we present a simple technique for creating representative packet size distributions for N-player FPS games based on empirically measured traffic of 2- and 3-player games. We illustrate the likely generality of our approach using data from Half-Life, Half-Life Counterstrike, Half-Life 2, Half-Life 2 Counterstrike, Quake III Arena and Wolfenstein Enemy Territory.

References

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  1. Extrapolating server to client IP traffic from empirical measurements of first person shooter games

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        cover image ACM Conferences
        NetGames '06: Proceedings of 5th ACM SIGCOMM workshop on Network and system support for games
        October 2006
        350 pages
        ISBN:1595935894
        DOI:10.1145/1230040
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Published: 30 October 2006

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        Author Tags

        1. first person shooter
        2. games
        3. teletraffic analysis
        4. traffic engineering

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        • (2014)Predict the StormProceedings of the 2014 Fourth International Conference on Communication Systems and Network Technologies10.1109/CSNT.2014.75(341-346)Online publication date: 7-Apr-2014
        • (2013)Experimental study and modelling of Networked Virtual Environment server traffic2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2013.6583718(1144-1149)Online publication date: Jul-2013
        • (2013)The Ex-Gaussian distribution as a model of first-person shooter game trafficMultimedia Systems10.1007/s00530-012-0272-219:3(221-229)Online publication date: 1-Jun-2013
        • (2010)Optimisation of capacity in various 802.11 gaming scenariosInternational Journal of Advanced Media and Communication10.1504/IJAMC.2010.0368334:4(302-323)Online publication date: 1-Nov-2010
        • (2010)A Survey of First-Person Shooter Gaming Traffic on the InternetIEEE Internet Computing10.1109/MIC.2010.5714:5(60-69)Online publication date: 1-Sep-2010
        • (2010)At the Intersection of Networks and Highly Interactive Online GamesAlgorithms for Next Generation Networks10.1007/978-1-84882-765-3_17(403-434)Online publication date: 20-Jan-2010
        • (2009)802.11 Wireless LAN multiplayer game capacity and optimizationProceedings of the 8th Annual Workshop on Network and Systems Support for Games10.5555/1837164.1837170(1-6)Online publication date: 23-Nov-2009
        • (2009)802.11 wireless LAN multiplayer game capacity and optimization2009 8th Annual Workshop on Network and Systems Support for Games (NetGames)10.1109/NETGAMES.2009.5446237(1-6)Online publication date: Nov-2009
        • (2009)A generalised prediction model of first person shooter game traffic2009 IEEE 34th Conference on Local Computer Networks10.1109/LCN.2009.5355165(213-216)Online publication date: Oct-2009
        • (2008)An ARMA(1,1) prediction model of first person shooter game traffic2008 IEEE 10th Workshop on Multimedia Signal Processing10.1109/MMSP.2008.4665172(736-741)Online publication date: Oct-2008
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