Big Data: A Survey

• Published in: Mobile networks and applications Vol. 19; no. 2; pp. 171 - 209
• Main Authors: Chen, Min, Mao, Shiwen, Liu, Yunhao
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2014; Springer Nature B.V
• Subjects: Big Data; Cloud computing; Communications Engineering; Computer Communication Networks; Data analysis; Data mining; Data processing; Data storage; Datasets; Electrical Engineering; Engineering; Intelligence; Internet; Internet of Things; IT in Business; Machine learning; Networks; On-line systems; Phases; Readers; Social networks; Software; Cloud computing; Internet of things; Big data analysis; Hadoop; Big data; Data center; Smart grid
• ISSN: 1383-469X; 1572-8153
• DOI: 10.1007/s11036-013-0489-0

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.