论文标题
基于云的按需视频流的经济高效的存储库管理
Cost Efficient Repository Management for Cloud-Based On-Demand Video Streaming
论文作者
论文摘要
视频转编码是将视频转换为查看器设备支持的格式的过程。视频转编码需要大量的存储和计算资源，因此，许多视频流提供商选择在云上执行它。视频流提供商通常需要准备几种相同视频的格式（称为预编码），并将适当的格式流式传输到观看器。但是，预先编码需要巨大的存储空间，并对流提供商施加了巨大的成本。更重要的是，由于对存储库中视频流的长尾访问模式，预先编码被证明是效率低下的。为了降低所产生的成本，在这项研究中，我们提出了一种方法，以部分预码视频流并以按需方式重新构架其余部分。我们将开发一种方法，以进行预先编码和按需转码的视频流以降低整体成本之间进行权衡。实验结果表明，我们方法的效率，尤其是当经常访问高比例的视频时。在此类存储库中，拟议的方法将所产生的成本降低了70 \％。
Video transcoding is the process of converting a video to the format supported by the viewer's device. Video transcoding requires huge storage and computational resources, thus, many video stream providers choose to carry it out on the cloud. Video streaming providers generally need to prepare several formats of the same video (termed pre-transcoding) and stream the appropriate format to the viewer. However, pre-transcoding requires enormous storage space and imposes a significant cost to the stream provider. More importantly, pre-transcoding proven to be inefficient due to the long-tail access pattern to video streams in a repository. To reduce the incurred cost, in this research, we propose a method to partially pre-transcode video streams and re-transcode the rest of it in an on-demand manner. We will develop a method to strike a trade-off between pre-transcoding and on-demand transcoding of video streams to reduce the overall cost. Experimental results show the efficiency of our approach, particularly, when a high percentage of videos are accessed frequently. In such repositories, the proposed approach reduces the incurred cost by up to 70\%.
