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面向海洋观测的Cyberinfrastructure原型

清华大学 辅仁网/2017-07-07

面向海洋观测的Cyberinfrastructure原型
李秀, 欧阳小刚, 汤友华, 黄容生, 马辉
清华大学 深圳研究生院, 深圳 518055
Cyberinfrastructure prototype for seafloor observations
LI Xiu, OUYANG Xiaogang, TANG Youhua, HUANG Rongsheng, MA Hui
Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China

摘要:

输出: BibTeX | EndNote (RIS)
摘要针对海底观测网建设过程中的多源异构数据集成、海量数据处理和科研协同工作等问题,构建了一个面向海洋观测的赛百平台(Cyberinfrastructure,CI)。通过整合底层分布式的计算、存储、数据、传感器等资源和设备,面向顶层特定的科研用户提供基于网络环境的高效计算服务、海量数据服务、科研应用服务等。通过集成科学工作流,开发数据分析模块,实现对海量观测数据的处理。运用虚拟组织技术,实现了基于网络的科研协同工作。实验结果表明:该系统可以显著提高海洋科研人员的工作效率。
关键词 赛百平台(Cyberinfrastructure),海底观测,科学工作流
Abstract:The cyberinfrastructure (CI) for seafloor observations needs to integrate multi-resource heterogeneous data, process massive amounts of data and foster cooperation to construct the seafloor observation network. Integration of distributed computing resources, storage resources, data resources and sensors in the system architecture is needed to provide network based computational services, massive data processing services and research opportunities for specific users. This paper shows how to integrate the scientific workflow and develop the data analysis modules for the massive data processing. A virtual organization is then used to achieve web-based research cooperation. Tests show that the prototype dramatically improves the efficiency of marine researchers.
Key wordsCyberinfrastructureseafloor observationscientific workflow
收稿日期: 2015-07-07 出版日期: 2016-09-22
ZTFLH:TP311.52
通讯作者:马辉,教授,E-mail:mah@sz.tsinghua.edu.cnE-mail: mah@sz.tsinghua.edu.cn
引用本文:
李秀, 欧阳小刚, 汤友华, 黄容生, 马辉. 面向海洋观测的Cyberinfrastructure原型[J]. 清华大学学报(自然科学版), 2016, 56(9): 949-955.
LI Xiu, OUYANG Xiaogang, TANG Youhua, HUANG Rongsheng, MA Hui. Cyberinfrastructure prototype for seafloor observations. Journal of Tsinghua University(Science and Technology), 2016, 56(9): 949-955.
链接本文:
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2016.21.047 http://jst.tsinghuajournals.com/CN/Y2016/V56/I9/949


图表:
图1 CI原型的分层架构
图2 赤潮海域三维流速彩图绘制实例
图3 海洋标量数据清洗统计算法处理时间对比
图5 海水浑浊情况下的分割结果对比
图6 对灰度分布相似的图片做合并分割试验
图7 对灰度分布存在差异的图片进行合分割试验
表1 标准FFCM 和本文算法耗时对比


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