Frontiers of Data and Domputing ›› 2022, Vol. 4 ›› Issue (1): 53-68.doi: 10.11871/jfdc.issn.2096-742X.2022.01.005

• Special Issue: Union of National Scientific Data Center • Previous Articles     Next Articles

Design and Implementation of a New Eco-Cloud Platform for National Ecosystem Science Data Center

TANG Xinzhai1,5(),CHEN Xin2(),HE Honglin1,3,5,*(),GUO Xuebing1,5(),SU Wen1,5(),XIE Chuanjie4(),SHEN Zhihong2(),ZHANG Li1,3,5(),REN Xiaoli1,3,5(),HOU Yanfei1,5(),LIU Feng2()   

  1. 1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    4. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    5. National Ecosystem Science Data Center, Beijing 100101, China
  • Received:2021-10-07 Online:2022-02-20 Published:2022-03-04
  • Contact: HE Honglin E-mail:tangxz@igsnrr.ac.cn;chx@cnic.cn;hehl@igsnrr.ac.cn;guoxb@igsnrr.ac.cn;suw@igsnrr.ac.cn;xiecj@lreis.ac.cn;bluejoe@cnic.cn;li.zhang@igsnrr.ac.cn;renxl@igsnrr.ac.cn;houyf@cern.ac.cn;liufeng@cnic.cn

Abstract:

[Objective] Information cloud platform plays an important role supporting multi-source heterogeneous ecosystem scientific data storage and open sharing. [Methods] We analyze the problems and challenges faced by the current information platform of the National Ecosystem Science Data Center in view of the evolution of ecosystem scientific data and the impact of national scientific data policies. A domain-driven design method is adopted to carry out microservice recognition. [Results] Based on the concept of “Open convergence, Collaborative management, and intelligent services”, we propose the design of a new ecosystem network cloud platform (Eco-Cloud), and present main system composition and application scenarios from four levels: multi-source data convergence, unified storage management, data processing and mining, sharing and presentation. [Conclusions] The new platform will help promote the level of ecological scientific data convergence, management, analysis, and sharing.

Key words: eco-cloud platform, science data center, life cycle management, data convergence, resources sharing