Cost-Efficient Storage for On-Demand Video Streaming on Cloud
This addresses cost reduction for video streaming companies by optimizing cloud storage usage, though it is incremental as it builds on existing hierarchical storage concepts.
The paper tackles the high storage cost of pre-transcoding videos for on-demand streaming by proposing a method to store video streams in hierarchical cloud storage, reducing overall costs by up to 40% when frequently accessed videos are prevalent.
Video stream is converted to several formats to support the user's device, this conversion process is called video transcoding, which imposes high storage and powerful resources. With emerging of cloud technology, video stream companies adopted to process video on the cloud. Generally, many formats of the same video are made (pre-transcoded) and streamed to the adequate user's device. However, pre-transcoding demands huge storage space and incurs a high-cost to the video stream companies. More importantly, the pre-transcoding of video streams could be hierarchy carried out through different storage types in the cloud. To minimize the storage cost, in this paper, we propose a method to store video streams in the hierarchical storage of the cloud. Particularly, we develop a method to decide which video stream should be pre-transcoded in its suitable cloud storage to minimize the overall cost. Experimental simulation and results show the effectiveness of our approach, specifically, when the percentage of frequently accessed videos is high in repositories, the proposed approach minimizes the overall cost by up to 40 percent.