Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 13, Issue 4, Pages 1891-1899Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2017.2650204
Keywords
Big data; massive data; network
Categories
Funding
- Open3D: Collaborative Editing for 3D Virtual Worlds [EPSRC] [EP/M013685/1]
- Distributed Java Infrastructure for Real-Time Big-data [CAS14/00118]
- eMadrid [S2013/ICE-2715]
- HERMES-SMARTDRIVER [TIN2013-46801-C4-2-R]
- AUDACity [TIN2016-77158-C4-1-R]
- EPSRC [EP/M013685/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/M013685/1] Funding Source: researchfish
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The term big data occurs more frequently now than ever before. A large number of fields and subjects, ranging from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversified types, issues, and solutions for big data more than ever before. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.
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