Research on IT Architecture of Heterogeneous Big Data

نویسندگان

  • Yun Liu
  • Qi Wang
  • Hai-Qiang Chen
چکیده

The amount of data has grown exponentially in industry and internet, and we are facing a significant problem of information explosion. The challenge is not only to store and manage the vast volume of data (“big data”), but also to analyze and extract meaningful value from it. This paper analyzed the characters of the future network and the features of data generated by it. Furthermore, we studied key issues and challenges of the multiple heterogeneous data IT infrastructure. The main focuses of this paper are on three aspects of distributed storage, cloud computing, and data fusion. There are several techniques to address these issues. At last, we proposed an architectural solution and key technology program which can be adapted to developing more application functionality and meet future demand for Internet services and new business for big data processing requirements.

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تاریخ انتشار 2015