Volume 45 Issue 1
Jan.  2019
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MENG Xiangxi, ZHANG Ling, GUO Haoming, et al. A new approach of cloud storage for industrial Internet[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(1): 130-140. doi: 10.13700/j.bh.1001-5965.2018.0174(in Chinese)
Citation: MENG Xiangxi, ZHANG Ling, GUO Haoming, et al. A new approach of cloud storage for industrial Internet[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(1): 130-140. doi: 10.13700/j.bh.1001-5965.2018.0174(in Chinese)

A new approach of cloud storage for industrial Internet

doi: 10.13700/j.bh.1001-5965.2018.0174
Funds:

National Natural Science Foundation of China 61300007

National Natural Science Foundation of China 61305054

Foundation of the Key Lab of Software Development Environment SKLSDE-2012ZX-28

Foundation of the Key Lab of Software Development Environment SKLSDE-2014ZX-06

More Information
  • Corresponding author: ZHANG Ling, E-mail: zhangling903@163.com
  • Received Date: 02 Apr 2018
  • Accepted Date: 03 Sep 2018
  • Publish Date: 20 Jan 2019
  • With the development of industrial informatization, industrial Internet has attracted many attentions, and massive heterogeneous data management is one of the most important issues. However, traditional relational database (RDB) limits the performance of access and retrieval of massive and heterogeneous data, while cloud data management mainly focuses on key-value (K-V) queries, which cannot quickly search data by using any data property other than the prime key. In this paper, a cloud storage framework-StoreCDB is proposed for data management in the industrial Internet. In StoreCDB, the heterogeneous data are represented by a uniform data model firstly and then stored in a distributed file and parallel architecture as unstructured data. In addition, a double-level index is proposed to support both key-value queries and RDB queries. This paper adopts a distributed cluster experimental platform and massive high-speed train operation simulation data to verify the framework. The experimental results show that StoreCDB has satisfactory heterogeneous data access and retrieval performance and provides a good solution for industrial Internet data management.

     

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