Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

A study on the Computing Framework of Cloud Intelligence Business Platforms

Authors
Feiqi Wang, Jian Zhang
Corresponding Author
Feiqi Wang
Available Online March 2018.
DOI
10.2991/mecae-18.2018.112How to use a DOI?
Keywords
SOA cloud computing; service composition; distributed system
Abstract

With the development and application of business management information system, businesss own much more production and management softwares. Traditional computer labs can not deploy these application softwares and provide data sharing operations at the same time. In this paper, a cloud intelligence business platform based on the theory of framework and business model of SOA and cloud computing is discussed. A good software support will be achieved by virtue of ideas of hierarchical design of cloud platforms and virtualization technology to extend business hardware resources.

Copyright
© 2018, 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 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
10.2991/mecae-18.2018.112
ISSN
2352-5401
DOI
10.2991/mecae-18.2018.112How to use a DOI?
Copyright
© 2018, 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  - Feiqi Wang
AU  - Jian Zhang
PY  - 2018/03
DA  - 2018/03
TI  - A study on the Computing Framework of Cloud Intelligence Business Platforms
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 385
EP  - 391
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.112
DO  - 10.2991/mecae-18.2018.112
ID  - Wang2018/03
ER  -