Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Research and Implementation of Construction Company Management Information System Based on Microservice and Service-oriented Architecture

Authors
Jing Gong, Caifeng Cao, Tongtong Su
Corresponding Author
Jing Gong
Available Online June 2017.
DOI
10.2991/caai-17.2017.51How to use a DOI?
Keywords
software architecture; service oriented architecture; microservice; web services
Abstract

This paper explores the application of micro service and service oriented architecture in management information system of construction field. The use of micro services to implement functional components and through the integration of different platforms and heterogeneous micro services, the construction company management system is realized, which greatly improves the efficiency of enterprise management, enhances the core competitiveness of enterprises, reduces the cost of system reconstruction, system maintenance and upgrading.

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 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.51
ISSN
1951-6851
DOI
10.2991/caai-17.2017.51How 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  - Jing Gong
AU  - Caifeng Cao
AU  - Tongtong Su
PY  - 2017/06
DA  - 2017/06
TI  - Research and Implementation of Construction Company Management Information System Based on Microservice and Service-oriented Architecture
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 231
EP  - 234
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.51
DO  - 10.2991/caai-17.2017.51
ID  - Gong2017/06
ER  -