Video streams tremendously occupied the highest portion of online traffic. Multiple versions of a video are created to fit the user's device specifications. In cloud storage, Keeping all versions of frequently accessed video streams in the repository for the long term imposes a significant cost paid by video streaming providers. Generally, the popularity of a video changes each period of time, which means the number of views received by a video could be dropped, thus, the video must be deleted from the repository. Therefore, in this paper, we develop a method that predicts the popularity of each video stream in the repository in the next period. On the other hand, we propose an algorithm that utilizes the predicted popularity of a video to compute the storage cost, and then it decides whether the video will be kept or deleted from the cloud repository. The experiment results show a cost reduction of the cloud services by 15% compared to keeping all video streams.
翻译：视频流占据了网上流量的最大部分。 创建了多个版本的视频, 以适应用户的设备规格 。 在云层存储中, 长期将所有经常访问的视频流保存在存储库中, 由视频流提供者支付大笔费用 。 一般来说, 视频流的流行程度每个时间段都会改变, 这意味着视频接收到的视频数量可以被删除, 因此, 视频必须从存储库中删除 。 因此, 在本文中, 我们开发了一种方法, 来预测存储库中每条视频流的受欢迎程度 。 另一方面, 我们提出一种算法, 利用视频的预期受欢迎度来计算存储成本, 然后决定视频是否会被保存或从云存储库删除 。 实验结果显示, 云服务的成本比所有视频流减少15% 。
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