遥感数据处理网格节点的研究
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摘要
遥感数据处理网格节点的研究
空间信息网格是汇集和共享空间信息资源,进行一体化的组织与处理,具有按需服务能力的、为空间信息用户提供一个强大的空间数据管理和信息处理的基础设施。遥感数据是一种重要的空间信息数据源,研究遥感数据处理网格节点体系结构、技术支持是空间信息网格研究的重要组成部分。
本文结合目前国内外网格技术大量的研究和空间信息网格研究的情况,对遥感数据处理网格节点进行深入的研究。首先,提出了遥感数据处理网格节点的体系结构,并对体系结构中涉及到的功能作了论述,其中包括系列的网格服务和节点内部管理描述。对于节点中的关键技术和实现技术规范在后面的章节中作了具体的论述。节点需要基于网格的安全机制和内部管理机制,本文提出了循环优先级比的任务调度算法和基于这种算法的任务组织结构。借助于网格中间件,本文给出了内部任务监测和资源监测的方法。遥感模型和算法作为一种网格资源需要在空间信息网格中进行注册和更新,本文提出了网格环境下遥感元模型的概念和服务注册与更新的模式以及技术的实现规范。遥感处理模型往往比较复杂且数据量大,处理比较费时,本文对于计算网格下的遥感算法模型模式进行归纳研究,结合实例给出了每种模式下的使用条件和执行效率分析。基于以上归纳的模式,给出了每种模式算法结构实现的关键技术和部分中间件开发的实例。
The spatial information can be collected, shared, organized, and processed with SIG (Spatial Information Grid). SIG is the infrastructure that manages and processes spatial data according to users' demand. Remotely sensed data is one of the most important spatial information sources, so the research on architectures and technical supports of Grid-based remotely sensed data processing node is the significant part of the research on SIGBased on the current research progress of Grid technology and SIG, a detailed research on the Grid-based remotely sensed data processing node has been conduced in this thesis. Firstly, the architectures of Grid-based remotely sensed data processing node is presented and the functions involved in the architectures have been expatiated on. Node needs Grid-based security and internal managing mechanisms. In this thesis a tasks scheduling algorithm is also presented based on priorities and multiply queue. With the Grid middleware, the method of internal tasks monitoring and resource monitoring are given in the thesis. The remote sensing models and algorithms have to be registered and updated in SIG The conception of remote sensing meta-model is proposed, which is the mode of service registering, updating and the implementation specification. Generally, the remotely sensed data processing models are complicated and the amount of the data is large. A research on the mode of remote sensing algorithms based on Grid computing has been conducted. The conditions of usage and analysis of executing efficiency in each mode are presented with examples. At the end of the thesis, the key technology of each mode structure and some of the middleware examples are also presented.
空间信息网格是汇集和共享空间信息资源,进行一体化的组织与处理,具有按需服务能力的、为空间信息用户提供一个强大的空间数据管理和信息处理的基础设施。遥感数据是一种重要的空间信息数据源,研究遥感数据处理网格节点体系结构、技术支持是空间信息网格研究的重要组成部分。
本文结合目前国内外网格技术大量的研究和空间信息网格研究的情况,对遥感数据处理网格节点进行深入的研究。首先,提出了遥感数据处理网格节点的体系结构,并对体系结构中涉及到的功能作了论述,其中包括系列的网格服务和节点内部管理描述。对于节点中的关键技术和实现技术规范在后面的章节中作了具体的论述。节点需要基于网格的安全机制和内部管理机制,本文提出了循环优先级比的任务调度算法和基于这种算法的任务组织结构。借助于网格中间件,本文给出了内部任务监测和资源监测的方法。遥感模型和算法作为一种网格资源需要在空间信息网格中进行注册和更新,本文提出了网格环境下遥感元模型的概念和服务注册与更新的模式以及技术的实现规范。遥感处理模型往往比较复杂且数据量大,处理比较费时,本文对于计算网格下的遥感算法模型模式进行归纳研究,结合实例给出了每种模式下的使用条件和执行效率分析。基于以上归纳的模式,给出了每种模式算法结构实现的关键技术和部分中间件开发的实例。
The spatial information can be collected, shared, organized, and processed with SIG (Spatial Information Grid). SIG is the infrastructure that manages and processes spatial data according to users' demand. Remotely sensed data is one of the most important spatial information sources, so the research on architectures and technical supports of Grid-based remotely sensed data processing node is the significant part of the research on SIGBased on the current research progress of Grid technology and SIG, a detailed research on the Grid-based remotely sensed data processing node has been conduced in this thesis. Firstly, the architectures of Grid-based remotely sensed data processing node is presented and the functions involved in the architectures have been expatiated on. Node needs Grid-based security and internal managing mechanisms. In this thesis a tasks scheduling algorithm is also presented based on priorities and multiply queue. With the Grid middleware, the method of internal tasks monitoring and resource monitoring are given in the thesis. The remote sensing models and algorithms have to be registered and updated in SIG The conception of remote sensing meta-model is proposed, which is the mode of service registering, updating and the implementation specification. Generally, the remotely sensed data processing models are complicated and the amount of the data is large. A research on the mode of remote sensing algorithms based on Grid computing has been conducted. The conditions of usage and analysis of executing efficiency in each mode are presented with examples. At the end of the thesis, the key technology of each mode structure and some of the middleware examples are also presented.
引文
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2、Foster, I., What is Grid? Three Point Checklist, Grid Today-Daily News And Information for the Globa Grid Community.July, 22,2002
3、郁文贤,2002。关于空间信息网格辁释,摘自863-13主题的官方网站,http://www.spatialdata.org
4、杨崇俊,网格及其对地理信息服务的影响。地理信息世界,2003,1(1).PP.20-22.
5、方金云,何建邦。网格GIS体系结构及其实现技术。地球信息科学。2002,4(4)。
6、美国国家宇航局官方网站:http://www.nasa.gov/externalflash/rtf_flash/start.html
7、程起敏,基于内容的遥感影像库检索关键技术研究,中国科学院遥感应用研究所博士论文,2004。
8、Goodchild, M. F.: Implementing Digital Earth: a research agenda, In Proceedings of the International Symposium on Digital Earth-Towards Digital Earth[C], 1999, Science Press, Beijing.
9、Xue, Y., Wang, J.Q.and Guo, H.D., 2003, Building Digital Earth with Grid Computing Technology-The Preliminary Results. In Proceedings of the 3rd Symposium on Digital Earth to be held in Brno, Czech Republic on September 21-25, 2003.
10、薛勇,王剑秦,郭华东,2004,数字地球网格计算雏议,遥感学报,.89-96,Vol.8,No.1.
11、Goodchild, M. F.: Metrics of scale in remote sensing and GIS International Journal of Applied Earth Observation and Geoinformation, Volume 3, Issue 2, 2001, Pages 114-120
12、Foster, I., Kesselman, C., and Tuescke, S., The anatomy of the Grid [J], Intl J. Supercomputer Applications, 2001
13、都志辉,陈渝,刘鹏,网格计算,清华大学出版社。2002
14、Mambretti, J. Schmidt, A. Next Generation Internet: Creating Advanced Networks and Services, Wiley, New York, 1999. ISBN 0-471-32762-X.
15、Donald M., Bramley, R., et al. Xport Collaboratory for X-ray Crystallography. http://www.iumsc.indiana.edu/Xport/xport_demo_talk.pdf, 2001.
16、Kyong S. Park, Yong J. C., Naveen K. Drishnaprasad, Chris Scharver, Michael J. Lewis, Jason Leigh, Andrew E. Johnson. CAVERNsoft G2: A Toolkit for High Performance Tele-Immersive Collaboration, Proc. Of the Symposium on Virtual Reality Software and Technology 2000,Oct 22-25, 2000, Seoul, Korea
17、Johnson, A. E., Leigh, J., and DeFanti T. Multi-Disciplinary Experience with CAVERNsoft Tele-Immersive Applications. Proc. of Fourth International Conference on Virtual System and Multimedia, November 1998,498-503
18、Michael J. Lewis, Adam J. Ferrari, Marty A. Humphrey, John F. Karpovich, Mark M. Morgan, Anand Natrajan, Anh Nguyen-Tuong, Glenn S. Wasson and Andrew S. Grimshaw, Support for extensibility and site autonomy in the Legion grid system object model Journal of Parallel and Distributed Computing, Volume 63, Issue 5, May 2003, Pages 525-538
19、Luethy,R. and Hoover, C., Hardware and software systems for accelerating common bioinformatics sequence analysis algorithms Drug Discovery Today: BIOSILICO, Volume 2, Issue 1, 1 January 2004, Pages 12-17
20、Joshy, J.,Craig,F.著,战晓苏等译。网格计算,清华大学出版社,2005.1
21、Foster, I. and Kesselman, C. (eds.). The Grid: Blueprint for a New Computing Infrastructure [M] e. Morgan Kaufmann, 1999.
22、中文译文摘自刘鹏,网格概念的界定,available at website:http://www.gridhome.com
23、网格技术的概念体系结构与核心技术漫谈,http//info.edu.hc360.com/html/001/023/70722.htm
24、Stevens, R., Woodward, P., DeFanti, T. and Catlett, C. From the I-WAY to the National Technology Grid [J]. Communications of the ACM, 40(11):50-61.1997.
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