Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering

Research on Power Grid Enterprise Financial Information Construction Based on Cloud Computing

Authors
Wenrui GAO, Peng ZHANG
Corresponding Author
Wenrui GAO
Available Online December 2016.
DOI
https://doi.org/10.2991/aece-16.2017.129How to use a DOI?
Keywords
cloud computing; power grid enterprises; finance management; information construction
Abstract

The article put forward concrete construction programs for power grid enterprises encountered in the financial management by analyzing the feasibility of fusing integration cloud computing and power grid enterprises financial management. The scheme is about requirements analysis and a series of specific construction method for deploying embodiment in the context of cloud computing to meet its flexibility, personalization, diversity needs.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-298-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/aece-16.2017.129How 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  - Wenrui GAO
AU  - Peng ZHANG
PY  - 2016/12
DA  - 2016/12
TI  - Research on Power Grid Enterprise Financial Information Construction Based on Cloud Computing
BT  - Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
PB  - Atlantis Press
SP  - 601
EP  - 604
SN  - 2352-5401
UR  - https://doi.org/10.2991/aece-16.2017.129
DO  - https://doi.org/10.2991/aece-16.2017.129
ID  - GAO2016/12
ER  -