热带海洋学报 ›› 2015, Vol. 34 ›› Issue (6): 49-56.doi: 10.11978/2015007

• 海洋管理 • 上一篇    下一篇

基于云服务的南海海洋断面科学考察数据共享研究

何洪前1, 2, 李莎1, 徐超1   

  1. 1. 中国科学院南海海洋研究所, 广东 广州 510301;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2015-01-14 修回日期:2015-04-22 出版日期:2015-11-10 发布日期:2015-11-24
  • 通讯作者: 李莎。E-mail: sli@scsio.ac.cn
  • 作者简介:何洪前(1989~), 男, 安徽省安庆市人, 硕士研究生, 主要研究方向海洋信息服务。E-mail: hhq@scsio.ac.cn
  • 基金资助:
    科技部科技基础性工作专项项目(2008FY110100); 中国科学院信息化专项项目(XXH12504-2-03)

Study on data sharing for scientific investigation in the South China Sea based on cloud computing

HE Hong-qian1, 2, LI Sha1, XU Chao1   

  1. 1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-01-14 Revised:2015-04-22 Online:2015-11-10 Published:2015-11-24

摘要: 随着云计算技术的出现, 数据共享模式发生了巨大的变化。利用云服务搭建数据共享平台, 实现网络软硬件基础资源的集约化运营, 能显著降低数据服务平台的建设成本, 提高数据服务平台的稳定性与可扩展性, 以及数据共享的高效性。文章研究基于企业级云计算平台(ECCP)利用Visual Database 3.0搭建南海海洋断面科学考察数据共享云平台, 整合phpMyAdmin等工具, 实现异构数据源的统一管理, 并通过云硬盘实现数据资源跨终端流转等功能, 将数据转化为灵活的服务。

关键词: 云计算, 南海, 科学考察, 科学数据, 数据共享

Abstract: With the emergence of cloud computing, great changes have taken place in data sharing. Cloud computing is considered to be a scientific data sharing platform. Through the network, software and hardware based on resource intensive operations will improve the stability and scalability of the server, and the efficiency for data sharing. This paper builds scientific investigation data sharing platform of cloud computing, using VDB3.0 based on the enterprise cloud computing platforms (ECCP). Integrated with phpMyAdmin and other tools, the unified management of heterogeneous data sources is realized, transforming data into flexible services. This study improved the security of data storage, organization and management efficiency.

Key words: cloud computing, South China Sea, scientific investigation, scientific data, data sharing

中图分类号: 

  • P781