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Research of a Massive Distributed Remote Sensing Data Resource Sharing Method Under Grid Environment

机译:网格环境下大规模分布式遥感数据资源共享方法研究

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With the rapid growth of the volume of remote sensing data, there is no doubt that resource sharing has become the key factor to improve the utilization of remote sensing data. This paper discusses and compares four major approaches of remote sensing data resource sharing, studies the theories of Grid and Grid middleware, and proposes an effective method of remote sensing data resource sharing under Grid environment. Firstly, by analyzing the features of Grid environment and remote sensing data, the metadata models are constructed and expressed using XML technology. Secondly, a resource directory service is structured for registering, browsing, inquiring and managing remote sensing metadata by adopting RLS, which is a data resource management component of Globus Toolkit. Based on the above study, in order to transmit data transparently, reliably and safely, this paper explores a reliable transmission method by RFT and GridFTP. Finally, a simulation Grid environment is built and a Grid middleware is implemented using object-oriented design method and reusable software design idea. Our proposed approach fully takes advantage of the Grid characteristic of maximizing the resource sharing. Furthermore, the middleware discussed here effectively improves the security of resource sharing, heterogeneous resources integration and has an easy operation. And most of all, this study provides a valid method and technical support for improving the utilization efficiency of remote sensing data.
机译:随着遥感数据量的快速增长,毫无疑问,资源共享已成为提高遥感数据利用率的关键因素。本文讨论并比较了遥感数据资源共享的四种主要方法,研究了网格和网格中间件的理论,提出了一种在网格环境下有效的遥感数据资源共享的方法。首先,通过分析网格环境和遥感数据的特征,利用XML技术构建和表达元数据模型。其次,构建资源目录服务,通过采用RLS(Globus Toolkit的数据资源管理组件)来注册,浏览,查询和管理遥感元数据。在上述研究的基础上,为了透明,可靠,安全地传输数据,本文探索了RFT和GridFTP的可靠传输方法。最后,使用面向对象的设计方法和可重用的软件设计思想,构建了一个仿真Grid环境,并实现了Grid中间件。我们提出的方法充分利用了最大化资源共享的网格特性。此外,这里讨论的中间件有效地提高了资源共享的安全性,异构资源的集成并具有易于操作的特点。最重要的是,这项研究为提高遥感数据的利用效率提供了有效的方法和技术支持。

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