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Network Traffic Analysis and Modeling for Games

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Internet and Network Economics (WINE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3828))

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Abstract

A number of papers have been proposed for the purpose of analyzing the traffic data of network game and providing the models recently. The traffic characteristics of network games are different according to the game genres, and the traffic is affected by player number and the in-game behaviors. In this paper, we develop the dedicated tool NetGame Sniffer for measurement and analysis of network game traffic, and measure the traffic of Quake and World of Warcraft. We analyze and compare the traffic characteristics according to the number of players and user actions, and propose the game traffic models and practical uses of the models. The analysis and models of network game traffic are can be used for effective network simulation, performance evaluation and the design of network games.

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References

  1. Claypool, M., LaPoint, D., Winslow, J.: Network analysis of Counter-strike and Starcraft. In: Proceedings of the 2003 IEEE International Conference, pp. 261–268 (2003)

    Google Scholar 

  2. Farber, J.: Traffic Modelling for Fast Action Network Games. Multimedia Tools and Applications 23, 31–46 (2004)

    Article  Google Scholar 

  3. Lang, T., Armitage, G.J., Branch, P., Choo, H.: A Synthetic Traffic Model for Half-Life. In: Australian Telecommunications Networks & Applications Conference (2003)

    Google Scholar 

  4. Heyaime-Duverge, C., Prabhu, V.K.: Modeling action and strategy Internet-games traffic. In: Vehicular Technology Conference 2002, vol. 3, pp. 1405–1409 (2002)

    Google Scholar 

  5. McCreary, S., Claffy, K.C.: Trends in Wide Area IP Traffic Patterns: A View from Ames Internet Exchange. In: Proceedings of ITC Specialist Seminar on Measurement and Modeling of IP Traffic, pp. 1–11 (2000)

    Google Scholar 

  6. Sheldon, N., Girard, E., Bong, S., Claypool, M., Agu, E.: The Effect of Latency on User Performance in Warcraft III. In: Proceedings of the 2nd Workshop on Network and System Support for Games, pp. 3–14 (2003)

    Google Scholar 

  7. Beigbeder, T., Coughlan, R., Lusher, C., Plunkett, J., Agu, E., Claypool, M.: The Effects of Loss and latency on User Performance in Unreal Tournament 2003. In: SIGCOMM Netgames Workshop (2004)

    Google Scholar 

  8. Ng, Y.S.: Designing Fast-Action Games for the Internet, Gamasutra (1997) http://gametech.cau.ac.kr/NetGameSniffer/NetGameSniffer.html

  9. LaPointe, D., Winslow, J.: Analyzing and Simulating Network Game Traffic, A Major Qualifying Project Report, Worcester Polytechnic Institute (2001)

    Google Scholar 

  10. Chen, K.T., Huang, P., Huang, C.Y., Lei, C.L.: Game Traffic Analysis: An MMORPG Perspective. In: International Workshop on Network and Operating System Support for Digital Audio and Video, pp. 19–24 (2005)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Park, H., Kim, T., Kim, S. (2005). Network Traffic Analysis and Modeling for Games. In: Deng, X., Ye, Y. (eds) Internet and Network Economics. WINE 2005. Lecture Notes in Computer Science, vol 3828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11600930_106

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  • DOI: https://doi.org/10.1007/11600930_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30900-0

  • Online ISBN: 978-3-540-32293-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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