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集群上的云游戏中的精细调度

云游戏是向移动设备提供高质量游戏服务的一种有前途的方法。但是，由于基于虚拟机迁移的粗粒度资源调度，现有的云游戏系统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，它具有细粒度的计划，可以最大程度地提高异构CPU-GPU群集上的资源利用率。具体来说，我们将游戏工作负载分解为小型且独立的渲染任务，这些任务可以自由地分配到不同的计算机上。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。