3 Tiers Storage Model for Low Throughput Off-Line Storage

M. Uehara
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Abstract

The demand of low cost large scale storages increases. Recently, several low throughput storage services such as Pogo plug Cloud have been developed. These services are based on Amazon Glacier. They have low throughput but low cost and large capacity. Therefore, these services are suited to backup or archive big data. They can be used instead of off-line storage tier. The low throughput storage does not have only low throughput but also low reliability of communication path. So, it needs efficient re-transferring mechanism. We proposed a split file model that can represent big data efficiently in low throughput storage. In this split file model, a large file is divided into many small parts and they are stored into a directory. We have developed tool commands to support the transparent way of using split files. Using these commands, replicated data is naturally excluded and effective shallow copying is supported. Furthermore, in this paper, we propose the split file mode based 3 tiers storage.
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低吞吐量离线存储的3层存储模型
对低成本大规模存储的需求不断增加。最近,一些低吞吐量的存储服务如Pogo plug Cloud被开发出来。这些服务基于亚马逊冰川。它们具有吞吐量低、成本低、容量大的特点。因此,这些服务适合于大数据的备份或归档。可以代替离线存储层使用。低吞吐量存储器不仅具有低吞吐量,而且具有通信路径的低可靠性。因此,它需要有效的再传递机制。我们提出了一种可以在低吞吐量存储中高效表示大数据的分割文件模型。在这种分割文件模型中,一个大文件被分割成许多小的部分,并存储在一个目录中。我们已经开发了工具命令来支持使用分割文件的透明方式。使用这些命令,复制的数据自然会被排除,并支持有效的浅复制。在此基础上,提出了基于三层存储的分割文件模式。
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