手机云游戏的认知平台

Wei Cai, Conghui Zhou, Victor C. M. Leung, Min Chen
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引用次数: 27

摘要

移动云游戏为电子游戏行业提供了一种全新的服务模式,可以克服移动设备的固有限制和盗版问题。然而,终端用户设备的多样性以及网络服务质量和云响应的频繁变化导致游戏玩家的体验质量(QoE)不稳定。通过了解玩家所处的环境并相应地调整云游戏服务来克服上述问题的认知云游戏平台目前还不存在。为了填补这一空白,我们设计并实现了一个基于组件的游戏平台,支持点击即玩,智能资源分配和部分离线执行,提供跨云游戏系统的认知能力。大量的实验表明,智能分区可以带来更好的系统性能,比如总体延迟。
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A Cognitive Platform for Mobile Cloud Gaming
Mobile cloud gaming provides a whole new service model for the video game industry to overcome the intrinsic restrictions of mobile devices and piracy issues. However, the diversity of end-user devices and frequent changes in network quality of service and cloud responses result in unstable Quality of Experience (QoE) for game players. A cognitive cloud gaming platform, which could overcome the above problem by learning about the game player's environment and adapting the cloud gaming service accordingly, does not currently exist. To fill this void, we design and implement a component-based gaming platform that supports click-and-play, intelligent resource allocation and partial offline execution, to provide cognitive capabilities across the cloud gaming system. Extensive experiments have been performed to show that intelligent partitioning leads to better system performance, such as overall latency.
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