Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

A Method of Data Synchronization Based on Message Oriented Middleware and Xml in Distributed Heterogeneous Environments

Authors
Z.Y. Lu, Z.B. Guo
Corresponding Author
Z.Y. Lu
Available Online July 2015.
DOI
10.2991/aiie-15.2015.59How to use a DOI?
Keywords
MOM; XML; heterogeneous environment; information exchange;data synchronization; trigger
Abstract

With the rapid development of information technology, lots of enterprises are being faced with resource share and information exchange under global heterogeneous environment. However, the MOM and XML technology can provide a better solution for the realization of information exchange and resource share of distributed heterogeneous environment. In this paper, we adopt four procedures to realize data synchronization between different databases. 1) get incremental data of source by triggers; 2) convert incremental data into XML file via XML mapping layer; 3) send XML file to destination in a message format; 4) parse data by XML parser.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.59How to use a DOI?
Copyright
© 2015, 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  - Z.Y. Lu
AU  - Z.B. Guo
PY  - 2015/07
DA  - 2015/07
TI  - A Method of Data Synchronization Based on Message Oriented Middleware and Xml in Distributed Heterogeneous Environments
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 210
EP  - 212
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.59
DO  - 10.2991/aiie-15.2015.59
ID  - Lu2015/07
ER  -