设计一个高效的分布式GIS应用程序

Subhansu Bandopadhyay, Arindam Ghosh, Rana Sarkar
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引用次数: 5

摘要

在分布式GIS(地理信息系统)中,所有存储数据的位置都联网在一起,查询可以从任意数量的位置获得结果。查询既可以是空间的,也可以是空间的,可以从网络中的任何位置发起,并且通过组合跨各种数据存储库的传播信息获得结果[K]。[j]。所提出的分布式地理信息系统模型将展示许多重要的用户需求、设计概念和现实世界、远程档案和访问能力的相关技术,以及如何将这些集成到多层次用户环境中。本文讨论了实现分布式系统所涉及的问题,该系统为需要从远程服务器访问和操纵大型地理空间数据集(如卫星图像)的决策支持和研究应用程序的开发提供计算基础设施。我们概述了我们开发的原型系统的一些组件。如果要处理的数据量非常大(例如卫星图像的多个通道),但最终结果相对较小(例如局部区域的处理卫星图像,或者可能只是平均海温或百分比云覆盖等几个数字),那么这里使用的方法特别有用。该项目集成了高性能计算机和海量数据存储,为基于Web的客户端提供决策支持应用的有用服务,包括农业规划和土地管理的环境分析、国防指挥和控制的卫星和摄影侦察图像分析等。因此,最终用户将能够从基于手工处理非电子数据(如地图)的传统DSSs(决策支持系统)过渡到基于自动化或半自动处理来自大型在线数据档案的数字数据的信息时代决策系统。分布式地理信息系统是一种新兴的需求。这项工作的目标是为开放分布式地理信息系统的开发提供模型、方法、工具和框架,并在至少一个测试用例中应用它们,以演示和验证结果的可用性和可行性。商业目标是降低地理数据管理的成本,并进一步提高地理数据收集和建立的投资回报率(ROI)。该方法是将新兴的开放分布式处理标准参考模型与现有的分布式对象技术相结合,应用于分布式地理信息系统的应用领域。该项目的结果将是基于分布式对象技术的开放式分布式处理应用于GIS的验证和示范。研究结果将用于增加地理信息系统领域研究和发展项目的份额。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of an efficient distributed GIS application
In distributed GIS (geographical information system), all locations that store data are networked together and queries gain their results from any number of locations. The queries, which can be both spatial, and a spatial can be fired from any location in the network and the result is obtained by combining disseminated information across various repositories of data [K. Buchler and L. McKee, 1996]. The proposed model of the distributed GIS will demonstrate many of the important user requirements, design concepts and relevant technologies for real world, remote archives and access capabilities and how these can be integrated into a multi-level user environment. This paper discusses the issues involved in implementing a distributed system that provides a computational infrastructure for the development of decision support and research applications requiring access to and manipulation of large geospatial data sets such as satellite imagery, from remote servers. We give an overview of some of the components of the prototype systems we have developed. The approach used here is particularly useful if the amount of data to be processed is very large (for example multiple channels of a satellite image) but the final result is relatively small (for example a processed satellite image of a localized area or perhaps just a few numbers such as average sea temperature or percentage cloud cover). This project integrates high performance computers and mass data stores to provide useful services to Web based clients for decision support applications including environmental analysis for agricultural planning and land management, analysis of satellite and photoreconnaissance images for defense command and control etc. The end users will thus be able to make the transition from traditional DSSs (decision support systems) based on manual processing of non electronic data such as maps to information age decision systems based on automated or semi automated processing of digital data from large online data archives. There is an emerging need for distributed GIS. The objective of this work is to provide models, methods, tools and frameworks for the development of open distributed geographical information systems and to apply them in at least one test case, to demonstrate and validate the usability and viability of the results. The commercial objective is to decrease the cost of geodata management and further increase the ROI (return on investment) of geodata collection and establishment. The approach is to apply the emerging reference model of open distributed processing standard in combination with existing distributed object technology in the application domain of distributed GIS. The results from this project will be a validation and demonstration of open distributed processing, based on distributed object technology, applied to GIS. The results will be used to increase the share of research and development projects in the area of GIS.
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