Frequently accessed video streams are pre-transcoded into several formats to satisfy the characteristics of all display devices. Storing several video stream formats imposes a high cost on video stream providers using the old classical way. Alternatively, cloud providers offer a high flexibility of using their services and at a low cost relatively. Therefore, video stream companies adopted cloud technology to store their video streams. Generally, having all video streams stored in one type of cloud storage, the cost rises gradually. More importantly, the variation of the access pattern to frequently accessed video streams impacts negatively the storage cost and increases it significantly. To optimize storage usage and lower its cost, we propose a method that manages the cloud hierarchy storage. Particularly, we develop an algorithm that operates on parts of different videos that are frequently accessed and stores them in their suitable storage type cloud. Experiments came up with promising results on reducing the cost of using cloud storage by 18.75 %.

中文翻译：

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改善云中视频流的分层存储

经常访问的视频流被预编码为几种格式，以满足所有显示设备的特性。使用旧的经典方法，存储几种视频流格式会给视频流提供者带来高昂的成本。替代地，云提供商以相对较低的成本提供了使用其服务的高度灵活性。因此，视频流公司采用云技术来存储其视频流。通常，将所有视频流存储在一种类型的云存储中，成本会逐渐上升。更重要的是，访问模式对频繁访问的视频流的变化会对存储成本产生负面影响，并显着增加存储成本。为了优化存储使用率并降低其成本，我们提出了一种管理云层次结构存储的方法。特别，我们开发了一种算法，可对经常访问的不同视频的一部分进行操作，并将其存储在合适的存储类型云中。实验提出了令人鼓舞的结果，可以将使用云存储的成本降低18.75％。