Yun Liu 1, Qi Wang1 and Hai-Qiang Chen1
1School of Communication and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing JiaoTong University, Beijing 100044, P.R. China
Received:
May 14, 2014
Accepted:
May 20, 2015
Publication Date:
June 1, 2015
Download Citation:
||https://doi.org/10.6180/jase.2015.18.2.05
ABSTRACT
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.
Keywords:
Cloud Computing, Hadoop, Data Mining, Distributed Storage
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