Cloud gaming is a promising approach to provide high-quality gaming services to mobile devices. However, existing cloud gaming systems fail to fully exploit hardware resources due to coarse-grained resource scheduling based on virtual machine migration. In this article, we propose a novel cloud gaming design, referred to as FGCG, with fine-grained scheduling to maximize resource utilization on a heterogeneous CPU-GPU cluster. Specifically, we decompose game workloads into small and independent render tasks that can be freely dispatched to different machines. Trace-driven simulation results show that FGCG can significantly improve resource utilization compared to existing cloud gaming systems.

中文翻译：

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异构CPU-GPU集群上云游戏的细粒度调度


云游戏是一种为移动设备提供高质量游戏服务的有前途的方法。然而，现有的云游戏系统由于基于虚拟机迁移的粗粒度资源调度，无法充分利用硬件资源。在本文中，我们提出了一种新颖的云游戏设计，称为 FGCG，通过细粒度调度来最大限度地提高异构 CPU-GPU 集群上的资源利用率。具体来说，我们将游戏工作负载分解为小的、独立的渲染任务，可以自由地调度到不同的机器上。跟踪驱动的仿真结果表明，与现有的云游戏系统相比，FGCG 可以显着提高资源利用率。