Introduction of Grid Computing Application Projects at the NASA Earth Science Technology Office
Introduction of Grid Computing Application Projects at the NASA Earth Science Technology Office
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NASA地球科学技术办公室网格计算应用项目介绍
DOI：
10.1007/11745693_29
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
P. Thornton
中科院分区：
文献类型：
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作者：
K. Chu;L. Di;P. Thornton
2003年，美国航天局地球科学技术办公室（ESTO）在高级信息系统技术（AIST）计划下为信息系统技术开发方面的20项新研究提供了资金。其中有两个方案专门将网格计算技术应用于地球科学领域：（1）OGC与网格技术的集成，用于地球科学建模和应用。开放地理空间联盟（OGC）的Web服务技术是为了提供地理空间数据的互操作访问和服务而开发的，而网格技术是为了在虚拟组织内共享高端计算设施的数据、存储和计算能力而开发的。内置的OGC地理空间服务包括子集化、重投影、地理校正、重投影、重格式化和可视化。技术集成将使网格技术在地理空间上可用，并与OGC标准兼容，同时使OGC技术网格可用。(2)Grid-BGC：Grid-BGC项目的目标是为高端地球系统建模创建一个端到端的技术解决方案，这将降低与全球碳循环及其与气候耦合研究相关的成本和风险。该系统可以提供一个强大的端到端的处理环境，允许在超级计算机级的计算，并解决了大量的在线和近线输入和输出数据流的相关需求。
In 2003, NASA Earth Science Technology Office (ESTO) awarded funding for 20 new investigations in information systems technology development under the Advanced Information Systems Technology (AIST) Program. Two of the selected proposals specifically used Grid computing technology in their Earth science applications:(1) Integration of OGC and Grid Technologies for Earth science modeling and applicationsThe Open Geospatial Consortium (OGC) web service technologies are deve-loped to provide interoperable access and services of geospatial data while the Grid technology is developed for sharing data, storage, and computational powers of high-end computing facilities within a virtual organization. The built-in OGC geospatial services include subsetting, resampling, georectification, reprojection, reformatting, and visualization. The technology integration will make Grid technology geospatially enabled and compatible with OGC standards and, at the same time, make OGC technology Grid enabled.(2) Grid-BGC: A Grid-computing architecture for terrestrial biogeochemical modelingThe objective of the Grid-BGC project creates an end-to-end technological solution for high-end Earth system modeling that will reduce the costs and risks associated with research on the global carbon cycle and its coupling to climate. The system can provide a robust end-to-end processing environment that permits computation at the supercomputer level and addresses the associated demands for massive on-line and near-line input and output data streams.