Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Design of Electric Power Data Management System Based on Hadoop

Authors
Yongheng Li, Yongzhi Wang, Liang Jin
Corresponding Author
Yongheng Li
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.199How to use a DOI?
Keywords
Hadoop;Electric power data;HDFS;MapReduce
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.199How to use a DOI?
Copyright
© 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  - https://doi.org/10.2991/icmmita-16.2016.199
ID  - Li2017/01
ER  -