4.7 Article

A survey of big data management: Taxonomy and state-of-the-art

期刊

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jnca.2016.04.008

关键词

Big data management; Storage; Big data; Processing; Security

资金

  1. University of Malaya [RP012C-13AFR]
  2. Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant Mobile Cloud Computing: Device and Connectivity [M.C/625/1/HIR/MOE/FCSIT/03]
  3. Bantuan Kecil Penyelidikan (BKP) Grant [BK074-2015]

向作者/读者索取更多资源

The rapid growth of emerging applications and the evolution of cloud computing technologies have significantly enhanced the capability to generate vast amounts of data. Thus, it has become a great challenge in this big data era to manage such voluminous amount of data. The recent advancements in big data techniques and technologies have enabled many enterprises to handle big data efficiently. However, these advances in techniques and technologies have not yet been studied in detail and a comprehensive survey of this domain is still lacking. With focus on big data management, this survey aims to investigate feasible techniques of managing big data by emphasizing on storage, pre-processing, processing and security. Moreover, the critical aspects of these techniques are analyzed by devising a taxonomy in order to identify the problems and proposals made to alleviate these problems. Furthermore, big data management techniques are also summarized. Finally, several future research directions are presented. (C) 2016 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据