Big Data: A Survey

被引：1639

作者：

Chen, Min ^{[1
]}

Mao, Shiwen ^{[2
]}

Liu, Yunhao ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China

[2] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA

[3] Tsinghua Univ, Sch Software, TNLIST, Beijing 100084, Peoples R China

来源：

MOBILE NETWORKS & APPLICATIONS | 2014年 / 19卷 / 02期

基金：

美国国家科学基金会;

关键词：

Big data; Cloud computing; Internet of things; Data center; Hadoop; Smart grid; Big data analysis; OF-THE-ART; MAP-REDUCE; ENERGY-EFFICIENT; SENSOR NETWORKS; PERFORMANCE; SCALE; CHALLENGES; SYSTEM; FUTURE; TOP;

D O I：

10.1007/s11036-013-0489-0

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could computing, Internet of Things, data centers, and Hadoop. We then focus on the four phases of the value chain of big data, i.e., data generation, data acquisition, data storage, and data analysis. For each phase, we introduce the general background, discuss the technical challenges, and review the latest advances. We finally examine the several representative applications of big data, including enterprise management, Internet of Things, online social networks, medial applications, collective intelligence, and smart grid. These discussions aim to provide a comprehensive overview and big-picture to readers of this exciting area. This survey is concluded with a discussion of open problems and future directions.

引用

页码：171 / 209

页数：39

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