Geological Cloud Platform Based on Micro Service Architecture

DOI

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.

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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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
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 566
EP  - 568
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.114
DO  - 10.2991/icwcsn-16.2017.114
ID  - Peng2016/12
ER  -