Architecture of Data Fusion System Based on Big Data Technology

被引：0

作者：

Yang, Chunhui ^{[1
]}

Cheng, Bo ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT) | 2016年 / 57卷

关键词：

data fusion; big data; system architecture; expansibility; real-time;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Data fusion technology has been widely used in many fields, but the existing data fusion system is faced with the test of the system scalability, real-time processing and fusion abundant dimension. This paper tries to design a data fusion system architecture which can be able to support massive data processing. This paper begins with an analysis of the data fusion system, the development status quo, key techniques and problems currently facing. Then, we make an analysis combined with the characteristics of big data about what the design principles should the new data fusion system follow. Finally, we focus on data access, data computing and data storage in three aspects to explain in detail the design of the system architecture.

引用

页码：43 / 48

页数：6

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