A measurement study regarding quality of service and its impact on multiplayer online games

M. Bredel, M. Fidler
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引用次数: 23

Abstract

In this paper we study the impact of network parameters including delay, delay jitter, and packet loss on the outcome of multiplayer online games. We use a measurement methodology that allows for automating game experiments using an artificial intelligence that runs on the game clients and eliminates the need for human interaction. Thus, we were able to perform thousands of experiments with different network configurations to investigate their influence on the game outcome systematically. Complementary to previous studies, we provide a solid data basis for statistical analysis. We derive probabilistic models that allow for calculating score and win probabilities and verify their accuracy using our measurements. As a result we are able to predict the outcome statistics of an ideal game with respect to network conditions.
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关于服务质量及其对多人在线游戏影响的测量研究
本文研究了网络参数延迟、延迟抖动和丢包对多人在线游戏结果的影响。我们使用了一种测量方法,允许使用在游戏客户端上运行的人工智能自动化游戏实验,并消除了对人类交互的需求。因此,我们能够使用不同的网络配置执行数千个实验,以系统地调查它们对游戏结果的影响。补充了前人的研究,为统计分析提供了坚实的数据基础。我们推导出概率模型,允许计算得分和获胜概率,并使用我们的测量验证其准确性。因此,我们能够根据网络条件预测理想游戏的结果统计。
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A real-world achievement system The near-term feasibility of P2P MMOG's Distributed scene graph to enable thousands of interacting users in a virtual environment Progressive cache replacement for massive peer-to-peer WebVR worlds A measurement study regarding quality of service and its impact on multiplayer online games
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