大数据技术对现代科技与经济的发展带来了深远的影响，同时也对传统的信息处理技术提出了严峻的技术挑战。目前大数据的存储和管理技术已经成为大数据分析和处理技术中首先必须解决的前期关键科学问题，由于现有的信息存储技术不适应大数据的体量大（Volume）、模式多（Variety）、变化快（Velocity）和价值密度低（Value）等4V特性方面的存储需求，所以开展适应大数据特性的智能存储技术研究有重要的现实意义。本项目拟研究的主要内容包括：（1）大数据“低能耗”分层存储和数据备份方法（2）大数据存储设备安全预警和数据主动迁移“智能”存储管理方法。本项目希望通过上述两个方面的研究，期望在大数据的智能化存储管理技术方面取得一系列研究成果.

Big data technology has a profound impact on the development of modern technology and economy. At the same time, it brings a severe challenge to the traditional information processing technology. At present, big data storage and management technology has become a key scientific issue which should be solved first in the analysis of big data. Due to the current information storage techniques do not have the 4V features like big data storage, which are defined as the Volume, Variety, Velocity and the Value. So it has important and practical significance to do the research on intelligent storage technology with the adaptation of big data features. This project proposed four main research contents, which include: (1) big data "low energy" hierarchical storage and data backup method （2) big data storage device security early warning and active migration, and other "intelligent" storage management methods. By doing the research through the above aspects, this project wishes to get a series of research results in big data with the intelligent storage managemet technology.