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Server?¢????side workflow execution using data grid technology for reproducible analyses of data?¢????intensive hydrologic systems

机译:服务器端工作流执行,使用数据网格技术对数据进行可重现的分析—密集的水文系统

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Many geoscience disciplines utilize complex computational models for advancing understanding and sustainable management of Earth systems. Executing such models and their associated data preprocessing and postprocessing routines can be challenging for a number of reasons including (1) accessing and preprocessing the large volume and variety of data required by the model, (2) postprocessing large data collections generated by the model, and (3) orchestrating data processing tools, each with unique software dependencies, into workflows that can be easily reproduced and reused. To address these challenges, the work reported in this paper leverages the Workflow Structured Object functionality of the Integrated Rule?¢????Oriented Data System and demonstrates how it can be used to access distributed data, encapsulate hydrologic data processing as workflows, and federate with other community?¢????driven cyberinfrastructure systems. The approach is demonstrated for a study investigating the impact of drought on populations in the Carolinas region of the United States. The analysis leverages computational modeling along with data from the Terra Populus project and data management and publication services provided by the Sustainable Environment?¢????Actionable Data project. The work is part of a larger effort under the DataNet Federation Consortium project that aims to demonstrate data and computational interoperability across cyberinfrastructure developed independently by scientific communities.
机译:许多地球科学学科利用复杂的计算模型来促进对地球系统的理解和可持续管理。由于许多原因,执行此类模型及其相关的数据预处理和后处理例程可能会遇到挑战,其中包括(1)访问和预处理模型所需的大量数据和各种数据;(2)对模型生成的大型数据集合进行后处理; (3)将各自具有独特软件依赖性的数据处理工具编排为易于复制和重用的工作流程。为了应对这些挑战,本文报道的工作利用了集成规则的面向工作的数据系统的“工作流结构化对象”功能,并演示了如何将其用于访问分布式数据,将水文数据处理封装为工作流,以及与其他社区联盟-驱动的网络基础设施系统。该方法在调查干旱对美国卡罗来纳州地区人口的影响的研究中得到了证明。分析利用了计算模型以及Terra Populus项目的数据以及可持续环境可操作数据项目提供的数据管理和发布服务。这项工作是DataNet Federation Consortium项目下一项更大工作的一部分,该项目旨在证明科学界独立开发的跨网络基础架构的数据和计算互操作性。

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