大数据存储技术进展 |
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作者姓名: | 冯周 左鹏飞 刘进军 |
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作者单位: | 华中科技大学 武汉光电国家实验室(筹), 湖北 武汉 430074 |
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摘 要: | 在大数据时代,我们面临着多种数据类型,数据规模以前所未有的速度增长,这给数据存储、管理以及分析带来了很大的挑战。传统的单机存储引擎显然不能满足数据爆炸性增长的需求,需要构建高性能、高可扩展、低成本、易用的分布式存储系统基础设施。本文对不同的分布式存储系统和其中的关键技术的研究进行全面的阐述和分析。
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关 键 词: | 大数据 分布式存储系统 数据存储 数据管理 |
收稿时间: | 2014-12-15 |
Progress of Big Data Storage Technology |
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Authors: | Feng Zhou Zuo Pengfei Liu Jinjun |
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Affiliation: | Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China |
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Abstract: | In the era of big data, we are facing more data types and data scale which grows in an unprecedented rate, it brings great challenges to data storage, management and analysis. The traditional stand-alone data storage engine cannot meet the needs of managing the rapid growth of data, and it is necessary to build highperformance, highly scalable, cost effective and easy-to-use distributed storage system infrastructure. This paper presents a brief overview of some classic distributed storage systems and related key technologies. |
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Keywords: | big data distributed storage system data storage data management |
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