Design and Application on the Cloud Computing Based Method of Marine Environment Data Sharing

HE Yawen; WEI Haitao; DU Yunyan

doi:10.13203/j.whugis20140466

Volume 41 Issue 10

Oct. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(10): 1307-1312. > DOI: 10.13203/j.whugis20140466

HE Yawen, WEI Haitao, DU Yunyan. Design and Application on the Cloud Computing Based Method of Marine Environment Data Sharing[J]. Geomatics and Information Science of Wuhan University, 2016, 41(10): 1307-1312. DOI: 10.13203/j.whugis20140466

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Design and Application on the Cloud Computing Based Method of Marine Environment Data Sharing

HE Yawen^{1, 2, 3,},
WEI Haitao^4, ,,
DU Yunyan²

1.
China University of Petroleum, Qingdao 266580, China
2.
Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
3.
State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou 310012, China
4.
Department of Resource and Civil Engineering, Shandong University of Science and Technology, Taian 271000, China

Funds:

The National Natural Science Foundation of China No. 41401439

the Science and Technology Planning Project of Huangdao No. 2014-1-53

the Open Fund of the Key Laboratory of Satellite Ocean Environment Dynamics No. SOED1502

the Open Fund of the State Key Laboratory of Resources and Environmental Information System a Process-Oriented Construction Method for Marine Environment Data Service

More Information

Corresponding author:
WEI Haitao,PhD. Email:894917442@qq.com
Received Date: April 26, 2015
Published Date: October 04, 2016

Graphical Abstract

Abstract

Abstract

The integration and sharing of marine environment data is one of the important research goals in marine GIS. Several problems have blocked the effective sharing of marine environmental data in the past, such as load unbalance in data services, limited data sharing modes and unobvious data servers. With the advent of cloud computing technologies, great changes occurred in the modes for data sharing. Cloud computing relies on sharing of resources to achieve coherence and economies of scale; similar to a utility (like the electricity grid) over a network. The theoretical foundation of cloud computing therefore is the broader concept of converged infrastructure and shared services. This paper presents a data sharing architecture for the marine environment based on cloud computing. The architecture providers of aIaaS(Infrastructure as a Service) offer computers-either physical or more often virtual machines and other resources. The DaaS(Data as a Service) mode in the architecture is based on the concept that a product, data in this case, can be provided on demand to the user regardless of the geographic or organizational separation of provider and consumer. The PaaS(Platform as a Service) mode in the architecture providers deliver a computing platform, typically including operating system, programming language execution environment, database, and web server. Application developers can develop and run their software solutions on a cloud platform without the cost and complexity of buying and managing the underlying hardware and software layers. Through this architecture, the user acts as both user and provider. The architecture provides some core functions for user, such as data release, data needs release, data discovery, needs discovery and feedback functions. This marine environment data sharing mode can inspire marine researchers to contribute their data thus ensuring effective and sustainable data resource integration. A prototype system for marine environment information cloud computing platform was realized, and simultaneously the feasibility and practicality of our technical solution was tested.
- marine environment data,
- data sharing,
- data services,
- cloud computing

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[1]	苏奋振, 周成虎, 杨晓梅, 等. 海洋地理信息系统理论基础及其关键技术研究[J]. 海洋学报, 2004, 26(6):22-28 http://www.cnki.com.cn/Article/CJFDTOTAL-SEAC200406003.htm Su Fenzhen, Zhou Chenghu, Yang Xiaomei, et al. Definition and Structure of Marine Geographic Information System[J]. Acta Oceanologica Sinica, 2004, 26(6):22-28 http://www.cnki.com.cn/Article/CJFDTOTAL-SEAC200406003.htm
[2]	He Yawen, Su Fenzhen, Du Yunyan, et al. Web-based Spatiotemporal Visualization of Marine Environment Data[J]. Chinese Journal of Oceanology and Limnology, 2010, 28(5):1086-1094. doi: 10.1007/s00343-010-0029-8
[3]	苏奋振, 周成虎, 杨晓梅. 海洋地理信息系统——原理, 技术与应用[M]. 北京:海洋出版社, 2005 Su Fenzhen, Zhou Chenghu, Yang Xiaomei. The Theory, Technology and Application of Marine Geographic Information System[M]. Beijing:China Ocean Press, 2005
[4]	何亚文. 海洋GIS模型服务聚合应用研究[D]. 烟台:中国科学院烟台海岸带研究所, 2012 He Yawen. Research of the Composition Techniques of Marine GIS Model Services[D]. Yantai:Yantai Institute of Coastal Zone Research Chinese Academy of Sciences, 2012
[5]	Schaap D M, Lowry R K. SeaDataNet-Pan-European infrastructure for marine and ocean data management:unified access to distributed datasets[J]. International Journal of Digital Earth, 2010, 3(S1):50-69 http://previous.seadatanet.org/content/download/8302/56207/version/1/file/sdn-iode50-march2011.pdf
[6]	Gillespie R, Butler M, Anderson N, Kucera H, LeBlanc C. MGDI:An Information Infrastructure to Support Integrated Coastal Management in Canada[J]. GeoCoast, 2000, 1(1):15-24. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.123.5116&rep=rep1&type=pdf
[7]	Wright D J. Spatial Data Infrastructures for Coastal Environments[M]//Remote Sensing and Geospatial Technologies for Coastal Ecosystem Assessment and Management. Berlin:Springer-Verlag, 2009
[8]	石绥祥. 基于网格的海洋环境数据共享与信息服务技术的研究[J]. 中国科技成果, 2013, 16(21):35-36 Shi Suixiang. Technology Study of Ocean Evironment Information Visualization Based on Grid Service[J]. China Science and Technology Achievements, 2013, 16(21):35-36
[9]	何亚文,杜云艳,苏奋振,等. 利用空间信息网格的海流场远程可视化[J]. 武汉大学学报·信息科学版,2010,35(3):350-352 http://ch.whu.edu.cn/CN/abstract/abstract871.shtml He Yawen, Du Yunyan, Su Fenzhen, et al. Remote Visualizations of Sea Flow Field with Spatial Information Grids[J]. Geomatics and Information Science of Wuhan University, 2010,35(3):350-352 http://ch.whu.edu.cn/CN/abstract/abstract871.shtml
[10]	李德仁, 姚远, 邵振峰. 智慧城市中的大数据[J]. 武汉大学学报·信息科学版,2014, 39(6):631-6400 http://ch.whu.edu.cn/CN/abstract/abstract2999.shtml Li Deren, Yao Yuan, Shao Zhenfeng et al. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6):631-640 http://ch.whu.edu.cn/CN/abstract/abstract2999.shtml
[11]	Jadeja Y, Modi K. Cloud Computing-Concepts, Architecture and Challenges[C]. The 2012 International Conference on Computing, Electronics and Electrical Technologies, Nagercoil, Tamil Nadu, India, 2012
[12]	罗军舟, 金嘉晖, 宋爱波, 等. 云计算:体系架构与关键技术[J]. 通信学报,2011,32(7):3-21 http://www.cnki.com.cn/Article/CJFDTOTAL-TXXB201107003.htm Luo Junzhou, Jin Jiahui, Song Aibo, et al. Cloud Computing:Architecture and Key Technologies[J]. Journal on Communications, 2011,32(7):3-21 http://www.cnki.com.cn/Article/CJFDTOTAL-TXXB201107003.htm
[13]	王笑宇, 程良伦. 云计算下的多源信息资源云体系及云服务模型研究[J]. 计算机应用研究, 2014,31(3):784-788 http://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ201403036.htm Wang Xiaoyu, Cheng Lianglun, Study of Multi-source Information Resources Cloud Systems and Cloud Services Model on Cloud Computing[J]. Application Research of Computers, 2014,31(3):784-788 http://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ201403036.htm
[14]	Jeaha Y, Anand R, Hobson S, et al. Data Service Portal for application integration in cloud computing[C]. The 8th International Conference & Expo on Emerging Technologies for a Smarter World, Long Island, New York, 2011
[15]	王涛, 姚世红, 徐正全, 等. 云存储中面向访问任务的小文件合并与预取策略[J]. 武汉大学学报·信息科学版, 2013,38(12):1504-1508 http://ch.whu.edu.cn/CN/abstract/abstract2840.shtml Wang Tao, Yao Shihong, Xu Zhengquan, et al. A Small File Merging and Prefetching Strategy Based on Access Task in Cloud Storage[J]. Geomatics and Information Science of Wuhan University, 2013,38(12):1504-1508 http://ch.whu.edu.cn/CN/abstract/abstract2840.shtml

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