Research on Big Data Architecture, Key Technologies and its Measures

被引：15
|
作者：
Li, Xiaoquan [1 ]
Zhang, Fujiang [1 ]
Wang, Yongliang [1 ]
机构：
[1] PLA, Nanjing Artillery Acad, Nanjing, Jiangsu, Peoples R China
来源：
2013 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC) | 2013年
关键词：
Big data processing; data analysis; data security; data architecture; construction measures;
D O I：
10.1109/DASC.2013.28
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Big data require exceptional technologies to efficiently process large quantities of data within tolerable elapsed times, such as capture, curation, storage, search, sharing, transfer, analysis and visualization. Concept, features, construction importance, architecture, run mode, and its key technologies of big data are analyzed in this paper. Information sharing and data security under big data constructin are studied, at last, four measures for building big data are putforward, which can provide good decision-making for big data construction.
引用
收藏
页码：1 / 4
页数：4
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