云计算中的智能阻断文件存储方法

K. Fan, L. Zhao, Xuemin Shen, Hui Li, Yintang Yang
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引用次数: 7

摘要

云存储是云计算的基础服务之一。然而,文件存储中存在一些亟待解决的关键问题,如文件的块存储。为了解决固定块存储中热文件存储的不足和并行计算支持问题,本文提出了一种智能块文件存储方法。该方法通过设置6个分组因素,可以根据文件大小和客户端带宽自动确定是否应该阻止文件。该方法可以在判断文件被阻塞时尽可能大地将文件分割成大小相近的子块。通常最后一个子块的大小比其他类似的子块要小。但差距保持在下一个较小的分组因子的大小范围内。元数据服务器可以在文件被阻塞时对热文件进行寻址。此外,该方法还定义了文件均匀性和系统均匀性,定量描述了文件和整个系统中子块的均匀性。分析和仿真结果表明,该方法在文件存储方面具有较好的系统均一性,能够很好地解决热文件引起的节点负载均衡问题,减少了大量的文件碎片。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart-blocking file storage method in cloud computing
Cloud storage is one of the underlying services in cloud computing. However, there are some critical issues in file storage which should be resolved urgently, such as the blocking file storage. In order to solve the shortages of hot file storage and parallel computing support issues in fixed-blocking storage, we propose a smart-blocking file storage method in this paper. By setting up 6 grouping factors, the method can determine whether the file should be blocked or not automatically depending on the size of the file and the client bandwidth. The proposed method can block the file into similar size sub-blocks as large as possible when the file is judged to be blocked. Normally the size of the last sub-block is smaller than other similar sub-blocks. But the gap maintains within the size of the next smaller grouping factor. The Metadata server can address the hot files when the file is blocked. In addition, the proposed method also defines the file uniformity and the system uniformity to quantitatively describe the uniformity of sub-blocks in the file and in the whole system. Analysis and simulation demonstrate the proposed method has better system uniformity in file storage, the node load balance caused by hot file, and a large number of file fragments reduction.
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