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An original-stream based solution for smoothly replaying high-definition videos in desktop virtualization systems

机译:基于原始流的解决方案,可在台式机虚拟化系统中平稳地回放高清视频

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Existing desktop virtualization systems suffer from a very limited performance in replaying high-definition videos remotely: intolerable CPU and bandwidth consumption, high response delay and poor video quality. In this paper, we propose an original-stream based solution to provide good user experience for replaying high-definition videos in desktop virtualization systems without any modification on applications and support most of prevalent high-definition video formats. In our solution, server's video content is not decoded on server but intercepted and delivered to client in its originally encoded state, so that the video content can be easily stored and transported in computer systems with high quality and low bandwidth. The encoded video content is intercepted in server's display driver, which enables HDR to work seamlessly with existing applications. The extremely CPU-intensive video decoding tasks are executed on client by using GPU-accelerated video decoding technology so that CPU can concentrate on other tasks. The experimental results validate our method and show that this proposed approach measurably outperforms state-of-the-art solutions.
机译:现有的桌面虚拟化系统在远程重播高清视频方面的性能非常有限:无法忍受的CPU和带宽消耗,高响应延迟以及差的视频质量。在本文中,我们提出了一种基于原始流的解决方案,以提供良好的用户体验,无需在应用程序上进行任何修改即可在桌面虚拟化系统中重放高清视频,并支持大多数流行的高清视频格式。在我们的解决方案中,服务器的视频内容不会在服务器上解码,而是会以其原始编码状态被拦截并传送给客户端,因此,视频内容可以轻松地在高质量和低带宽的计算机系统中存储和传输。编码后的视频内容在服务器的显示驱动程序中被拦截,这使HDR可以与现有应用程序无缝协作。通过使用GPU加速的视频解码技术,可以在客户端上执行占用大量CPU的视频解码任务,以便CPU可以专注于其他任务。实验结果验证了我们的方法,并表明该提议的方法明显优于最新的解决方案。

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