Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Implementation of High-volume Reliable Intelligence E-business

Authors
Zhou Zhong1, Jun Wen
1Computer Science & Technology Institute, University of Electronic Science and Technology of China
Corresponding Author
Zhou Zhong
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.140How to use a DOI?
Keywords
TM server( Transaction Middleware Server), BI( Business Intelligence), RRM( Resource Recovery Mechanism), LUW( Logical Unit Work)
Abstract

E-business intelligence and reliability are the crucial step for companies’ huge volume data processing. This paper presents a transaction middleware and web server working together supported by business intelligence mechanism, which can get a reliable scaleable plug-in based system. The efficiency of data-processing will be reduced. It can facilitate both the developers and consumers.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.140How to use a DOI?
Copyright
© 2007, 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  - Zhou Zhong
AU  - Jun Wen
PY  - 2007/10
DA  - 2007/10
TI  - Implementation of High-volume Reliable Intelligence E-business
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 818
EP  - 823
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.140
DO  - https://doi.org/10.2991/iske.2007.140
ID  - Zhong2007/10
ER  -