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Research on Compression Storage of Massive Agricultural Data Based on Cloud Environment

文献类型： 外文期刊

作者： Gao Ronghua 1 ; Wu Huarui 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： cloud storage;massive data;compression storage;Huffman tree

期刊名称：MACHINERY ELECTRONICS AND CONTROL ENGINEERING III

ISSN： 1660-9336

年卷期： 2014 年 441 卷

页码：

收录情况： SCI

摘要： With the development of information technology, agriculture data show large amount of data, distributed, heterogeneous characteristics. It is difficult to access and management with the massive data are continuously increasing which affect the large-scale use of agricultural information data. In this paper, the method of compression algorithm is proposed which based on real-time and time space correlation characteristics. All data is divided into several categories by Huffman compression algorithm combines parallel processing cloud platform. Then, the massive agricultural data is compressed and reducing the data storage. Exprienment result show that cloud storage platform with dynamic scalability. Under the same experimental data, the method of this paper has higher compress ratio, and compression consuming less when a larger amount data, compared with the Huffman compress and dictionary-based data compression algorithm.

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