KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Review of big data processing based on granular computing | |
| Xu, Ji1,2,3; Wang, Guo-Yin3; Yu, Hong2 | |
| 2015 | |
| 摘要 | In big data age, people from IT industry, academia and government are taking effort to find out the value behind the data resources. Using cloud computing platform to store and process big data distributed has been a common sense and been put into practice extensively. However, this is far from solving the problems completely caused by the 3V-features (volume, variety and velocity) of big data. The problems require joint efforts of researchers from the fields of storage technology, Internet2, processors, and computing paradigm, etc. Granular computing (GrC) is a label of the family of any theories, methodologies, techniques, and tools that make use of information granules in problem solving, especially when the problem is with uncertainty, of hierarchical structure and can be approximately solved. This paper surveys the researches on big data processing and analyzes the limitation in current big data processing researches, summarizes three basic modes of GrC according to the ways in which GrC is used to solve problems and reviews the related works of each mode. The feasibility and advantages of applying GrC to process big data are discussed subsequently, and the related key problems rising in GrC-based big data processing framework are discussed at last. ©, 2015, Science Press. All right reserved. |
| DOI | 10.11897/SP.J.1016.2015.01497 |
| 发表期刊 | Jisuanji Xuebao/Chinese Journal of Computers
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| ISSN | 02544164 |
| 卷号 | 38期号:8页码:1497-1517 |
| 通讯作者 | Wang, Guo-Yin |
| 收录类别 | EI |
| 语种 | 中文 |
