Design of Electric Power Data Management System Based on Hadoop
Yongheng Li, Yongzhi Wang, Liang Jin
Available Online January 2017.
- 10.2991/icmmita-16.2016.199How to use a DOI?
- Hadoop;Electric power data;HDFS;MapReduce
With the development of smart grid, electric power system data surges in a short period of time, and the traditional data storage and processing platform can't meet the requirements. In this paper, big data-related technology will be applied to the electric power data management, using Hadoop as a basic platform. The system stores data by the HDFS distributed file system, through MapReduce framework to achieve data processing parallelism. Object-oriented programming language Java is used to develop the prototype of the system. The system can be applied to power decision support, power system monitoring, power data management and many other aspects. This paper provides a valuable reference for the electric power system data management.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yongheng Li AU - Yongzhi Wang AU - Liang Jin PY - 2017/01 DA - 2017/01 TI - Design of Electric Power Data Management System Based on Hadoop BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.199 DO - 10.2991/icmmita-16.2016.199 ID - Li2017/01 ER -