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THE COMPUTING AND DATA GRID APPROACH: INFRASTRUCTURE FOR DISTRIBUTED SCIENCE APPLICATIONS

机译:计算和数据网格方法:分布式科学应用程序的基础结构

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Grid technology has evolved over the past several years to provide the services and infrastructure needed for building "virtual" systems and organizations. With this Grid based infrastructure that provides for using and managing widely distributed computing and data resources in the science environment, there is now an opportunity to provide a standard, large-scale, computing, data, instrument, and collaboration environment for science that spans many different projects, institutions, and countries. We argue that Grid technology provides an excellent basis for the creation of the integrated environments that can combine the resources needed to support the large-scale science projects located at multiple laboratories and universities. We also present some science case studies that indicate that a paradigm shift in the process of science will come about as a result of Grids providing transparent and secure access to advanced and integrated information and technologies infrastructure: powerful computing systems, large-scale data archives, scientific instruments, and collaboration tools. These changes will be in the form of Grid based services that can be integrated with the user's work environment, and that enable uniform and highly capable access to these computers, data, and instruments, regardless of the location or exact nature of these resources. These services will integrate transient-use resources like computing systems, scientific instruments, and data caches (e.g., as they are needed to perform & simulation or analyze data from a single experiment); persistent-use resources, such as databases, data catalogues, and archives; and collaborators, whose involvement will continue for the lifetime of a project or longer. While we largely address large-scale science requirements in this paper, Grids, particularly when combined with Web Services, will address a broad spectrum of science scenarios, both large and small scale, as well as various commercial and cultural cyberinfrastructure applications.
机译:网格技术在过去几年中得到了发展,可以提供构建“虚拟”系统和组织所需的服务和基础架构。借助基于Grid的基础架构,该基础架构可在科学环境中使用和管理广泛分布的计算和数据资源,现在有机会为跨越许多领域的科学提供标准的大规模,计算,数据,仪器和协作环境不同的项目,机构和国家。我们认为,网格技术为创建集成环境提供了极好的基础,集成环境可以结合支持位于多个实验室和大学的大型科学项目所需的资源。我们还提供了一些科学案例研究,这些研究表明,网格将提供对先进和集成的信息和技术基础架构的透明且安全的访问,从而将在科学过程中发生范式转变:强大的计算系统,大规模数据档案库,科学仪器和协作工具。这些更改将采用基于网格的服务形式,该服务可以与用户的工作环境集成在一起,并且无论这些资源的位置或确切性质如何,都可以对这些计算机,数据和仪器进行统一且功能强大的访问。这些服务将集成诸如计算系统,科学仪器和数据缓存之类的临时使用资源(例如,在执行和仿真或分析单个实验中的数据时需要它们);持久使用的资源,例如数据库,数据目录和存档;和合作者,他们的参与将持续到整个项目生命周期或更长时间。尽管我们在本文中主要解决了大型科学需求,但网格(尤其是与Web服务结合使用时)将解决各种科学场景,无论规模大小,以及各种商业和文化网络基础设施应用。

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