Online Gaming Traffic Generator for Reproducing Gamer Behavior

Abstract : In this paper, we proposed an online gaming traffic generator reflecting user behavior patterns. We analyzed the packet size and inter departure time distributions of a popular FPS game (Left4Dead) and MMORPG (World of Warcraft) for regenerating gaming traffic. The proposed traffic generator generates an inter departure time and gaming packetbased on analytical model of the gamer behaviors, then transmits the packet according to the inter departure time. Packet generation results show that generated packets of World of Warcraft is much different with analytical model, unlike Left4Dead. It is caused by Nagle algorithm and Delayed Acknowledgments of TCP. Thus, we disabled the Nagle algorithm in the proposed traffic generator. The generation results show that the revised proposed traffic generator guarantees goodness of fit in the generated traffic distribution.
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Kwangsik Shin, Jinhyuk Kim, Kangmin Sohn, Changjoon Park, Sangbang Choi. Online Gaming Traffic Generator for Reproducing Gamer Behavior. 9th International Conference on Entertainment Computing (ICEC), Sep 2010, Seoul, South Korea. pp.160-170, ⟨10.1007/978-3-642-15399-0_15⟩. ⟨hal-01055646⟩

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