Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Geological Cloud Platform Based on Micro Service Architecture

Authors
Shi-Jie Peng, Zhi-Ting Zhang, Chong-Long Wu
Corresponding Author
Shi-Jie Peng
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.114How to use a DOI?
Keywords
Microservice; RESTFul; SaaS; Docker; geological data management.
Abstract
This paper analyses the main problems of the data sharing and application services of geological survey in China, and analyses the current situation of the research of the domestic and foreign qualitative cloud and big data. China Geological Survey service targets and construction of mainstream cloud computing technology based on the geological survey data storage mechanism, logical architecture and application architecture, DOCKER is proposed based on geological micro heterogeneous system architecture for cloud service access, the era of big data processing, geological data processing, interpretation and application.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.114How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shi-Jie Peng
AU  - Zhi-Ting Zhang
AU  - Chong-Long Wu
PY  - 2016/12
DA  - 2016/12
TI  - Geological Cloud Platform Based on Micro Service Architecture
PB  - Atlantis Press
SP  - 566
EP  - 568
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.114
DO  - https://doi.org/10.2991/icwcsn-16.2017.114
ID  - Peng2016/12
ER  -