面向海洋观测的Cyberinfrastructure原型

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清华大学辅仁网/2017-07-07

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 words：Cyberinfrastructure seafloor observation scientific 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或 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

参考文献:

[1] Atkins D E, Droegemeier K K, Feldman S I, et al. Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure [R].Washington D C, USA: The National Science Fundation,2003.
[2] Cotofana C, Ding L, Shin P, et al. An soa-based framework for instrument management for large-scale observing systems (usarray case study) [C]//2006 IEEE International Conference on Web Services. Los Alamitos, CA, USA: IEEE Computer Society Press,2006: 815-822.
[3] Wang S, Liu Y. TeraGrid GIScience gateway: Bridging cyberinfrastructure and GIScience [J]. International Journal of Geographical Information Science, 2009, 23(5): 631-656.
[4] Li W W, Krishnan S, Mueller K, et al. Building cyberinfrastructure for bioinformatics using service oriented architecture [C]//Cluster Computing and the Grid, 2006. Los Alamitos, CA, USA: IEEE Computer Society Press, 2006, BG03.
[5] Reymond D, Dib K, Kromm H. Data-mining and indicators in cyberinfrastructure [C]//Global Engineering Education Conference (EDUCON), 2012 IEEE. IEEE, 2012: 1-10.
[6] Wang S. A CyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis [J]. Annals of the Association of American Geographers, 2010, 100(3): 535-557.
[7] Gorlatch S, Glinka F, Ploss A. Towards a scalable real-time cyberinfrastructure for online computer games [C]//2009 15th International Conference on Parallel and Distributed Systems. Piscataway, NJ, USA: IEEE Press, 2009: 722-727.
[8] Chave A D, Arrott M, Farcas C, et al. Cyberinfrastructure for the US ocean observatories initiative: Enabling interactive observation in the ocean [C]//Oceans 2009- Europe. Piscataway, NJ, USA: IEEE Press, 2009: 1-10.
[9] Meisinger M, Farcas C, Farcas E, et al. Serving ocean model data on the cloud [M]. Piscataway, NJ, USA: IEEE Press, 2009.
[10] Arrott M, Alexander C, Graybeal J, et al. Building transparent data access for ocean observatories: Coordination of US IOOS DMAC with NSF's OOI Cyberinfrastructure [C]//OCEANS 2011. Piscataway, NJ, USA: IEEE Press, 2011: 1-9.
[11] 李立刚, 赵彩云, 秦明慧, 等. 海洋观测数据管理系统的设计与实现 [J]. 海洋预报, 2010, 27(2): 53-57.LI Ligang, ZHAO Caiyun, QIN Huiming, et al. A design and implementation of the data management system for marine environment monitoring [J]. Marine Forecasts, 2010, 27(2), 53-57.(in Chinese)
[12] 孙凯, 李智刚, 秦宝成, 等. 海底观测网控制系统设计 [J]. 传感器与微系统, 2014, 33(8): 94-96.SUN Kai, LI Zhigang, QIN Baocheng, et al. Design on control system for ocean observatories [J]. Transducer and Microsystem Technologies.2014, 33(8): 94-97.(in Chinese)
[13] 薛志刚, 金波, 李德骏, 等. 海底观测网络的监测信息系统研究 [J]. 轻工机械, 2010, 28(4): 83-86.XUE Zhigang, JIN Bo, LI Dejun, et al. Research on monitor information system in seafloor observatory network [J]. Light Industry Machinery, 2010,28(4),83-86.(in Chinese)
[14] 李进华. e-Science环境下的科学工作流实现及其应用研究(Ⅰ)—概念、架构与设计 [J]. 情报科学, 2009(9):1394-1399.LI Jinhua. E-Science-based implement of scientific workflow and its application—concept, architecture and design [J]. Information Science, 2009(9): 1394-1399. (in Chinese)
[15] 张卫民, 刘灿灿, 骆志刚. 科学工作流技术研究综述 [J]. 国防科技大学学报, 2011, 33(3): 56-65.ZHANG Weimin, LIU Cancan, LUO Zhigang. A Review on Scientific Workflow [J]. Journal of National University of Defense Technology, 2011, 33(3): 56-65. (in Chinese)
[16] Altintas I, Berkley C, Jaeger E, et al. Kepler: An extensible system for design and execution of scientific workflows [C]//Proceedings of the 16th International Conference on Scientific and Statistical Database Management. Santorini Island, Greece: IEEE, 2004: 423-424.
[17] 丛丕福, 张丰收, 曲丽梅. 赤潮灾害监测预报研究综述 [J]. 灾害学, 2008, 23(2): 127-130. CONG Pifu, ZHANG Fenshou, QU Limei. Overview on monitoring and forecast of red tide hazard [J]. Joural of Catastrophology , 2008, 23(2): 127-130.(in Chinese)
[18] 刘雪芹, 夏新, 张建辉,等. 赤潮监测技术的现状与发展 [J]. 中国环境监测, 2002, 18(6):64-67. LIU Xueqin, XIA Xin, ZHANG Jianhui, et al. Current status and progress on red tide monitoring technology [J]. Environmental Monitoring in China, 2002, 18(6): 64-67.(in Chinese)
[19] Pham D L, Prince J L. An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities [J]. Pattern recognition letters, 1999, 20(1): 57-68.
[20] Wang S, Xu Y, Pang Y. A fast underwater optical image segmentation algorithm based on a histogram weighted fuzzy C-means improved by PSO [J]. Journal of Marine Science and Application, 2011, 10(1): 70-75.
[21] 董锐. 高校虚拟科研组织中Cyberinfrastructure建设的研究[D]. 浙江: 浙江大学, 2009.DONG Rui. Research in Cyberinfrastructure Construction in Virtual Scientific Research Organization of University[D]. Zhejiang: Zhejiang University, 2009.(in Chinese)
[22] 陈凯泉, 张士洋. 研究型大学虚拟科研组织的组建模式与运行机制 [J]. 现代教育技术, 2012, 22(10): 5-11.CHEN Kaiquan, ZHANG shiyang. The building model and running mechanisms of virtual Research organizations in research-oriented university [J]. Modern Educational Technology, 2012,22(10):5-11.(in Chinese)
[23] 林向义, 罗洪云, 杨金保, 等. 高校虚拟科研团队知识共享能力评价研究 [J]. 情报科学, 2014, 32(011):102-107.LIN Xiangyi, LUO Hongyun, YANG Jinbao, et al. Evaluation on knowledge sharing capability of virtual scientific research team in colleges and universities [J]. Information Science, 2014, 32(011):102-107.(in Chinese)

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