Wide-Area Synchronized among Big Data Sets of Railway Power Supply Dispatching Center

DOI

10.2991/eame-17.2017.14How to use a DOI?

Keywords

data synchronized; data consistency; disaster tolerance; daffodil replicator; message-oriented middleware; database trigger; java data base connectivity; replication; heterogeneous databases

Abstract

Delicacy management of railway power supply and the density of trains increased made monitoring points increased and running changes intensify, a large number of fluctuation data need to be synchronized among different databases, but there are two problems need to be solved: (1) Existing various systems can not constitute an organic whole, information sharing across databases is difficult, integrated application is hard to begin; (2) Railway power supply management system is lack of data consistency and disaster tolerance capacity[4-6]. In order to solve these two problems, in this paper, Daffodil Replicator is a publish/subscribe message-oriented middleware that combined with database triggers to improve the reliability of the data synchronization ability, Daffodil Replicator can execute two-way synchronization between two databases which support Java Data Base Connectivity(JDBC), made data replication in different heterogeneous databases.

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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TY  - CONF
AU  - Zhijian Qu
AU  - Ruilin Zhou
AU  - Liang Zhao
PY  - 2017/04
DA  - 2017/04
TI  - Wide-Area Synchronized among Big Data Sets of Railway Power Supply Dispatching Center
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 55
EP  - 57
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.14
DO  - 10.2991/eame-17.2017.14
ID  - Qu2017/04
ER  -