Geological Cloud Platform Based on Micro Service Architecture
Shi-Jie Peng, Zhi-Ting Zhang, Chong-Long Wu
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.114How to use a DOI?
- Microservice; RESTFul; SaaS; Docker; geological data management.
- 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.
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 -