GISolve: a grid-based problem solving environment for computationally intensive geographic information analysis
GISolve: a grid-based problem solving environment for computationally intensive geographic information analysis
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GISolve：用于计算密集型地理信息分析的基于网格的问题解决环境
DOI：
10.1109/clade.2005.1520892
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Yan Y. Liu
中科院分区：
文献类型：
--
作者：
Shaowen Wang;M. Armstrong;J. Ni;Yan Y. Liu
本文的目的是演示GISolve的设计和实现，GISolve是一个基于地理中间件的网格问题解决环境，用于计算密集型地理信息分析。地理中间件位于现有网格中间件和地理信息分析应用程序之间，代表分析应用程序管理异构和动态资源。同时，GISolve为并行的地理信息分析应用提供了自适应的域分解解决方案。基于这些领域分解解决方案，GISolve还可以调度分布式任务和管理数据传输。在GISolve中，这些功能被设计为符合开放网格服务体系结构（OGSA）的网格服务，并使用网格门户技术实现。GISolve的实现是基于一个计算密集型空间统计的案例研究- [G*/sub i/(d)]，用于评估地理分布观测之间的空间依赖性。
The purpose of this paper is to demonstrate the design and implementation of GISolve - a grid-based problem solving environment for computationally intensive geographic information analysis based on geo-middleware. The geo-middleware resides between existing grid middleware and geographic information analysis applications to manage heterogeneous and dynamic resources on behalf of analysis applications. At the same time, GISolve provides adaptive domain decomposition solutions to parallel geographic information analysis applications. Based on these domain decomposition solutions, GISolve also schedules distributed tasks and manages data transfers. In GISolve, these capabilities are designed as grid services that are compliant with the open grid service architecture (OGSA) and are implemented using grid portal technologies. The GISolve implementation is illustrated based on a case study of a computationally intensive spatial statistic - [G*/sub i/(d)] that is used to assess spatial dependence among geographically distributional observations.