Online Gaming Traffic Generator for Reproducing Gamer Behavior

摘要

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 packet based 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 War-craft 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.