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DOMAIN-SPECIFIC METAWARE FOR HYDROLOGIC APPLICATIONS

机译：用于水文应用的领域特定方法

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The DHARMA domain-specific middleware system is intended to allow hydrologic field engineers to tackle water-management problems on a scale previously impossible without sophisticated computational management systems. DHARMA provides automatic data acquisition via the Internet; data fusion from online, local, and cached resources; smart caching of intermediate results; parallel process execution; automatic transformation and piping of data between different hydrologic simulation models; and interfaces with existing metacomputing systems. Our target watershed model, WEPP, is limited to very small watersheds with current computer technology. A revolutionary change in hydrologic modelling on the watershed scale will be brought about by applying various watershed models to large watersheds, such as the Lake Decatur Watershed, which covers 925 square miles. Even with unlimited computing resources, the current version of WEPP could not be directly applied to mode the Lake Decatur Watershed because the current implementation of WEPP is limited to a maximum of 75 hillslopes. To address this issue, we have now integrated support for multiple simulation models in our software; for example, we can use WEPP to model individual hillslopes and another model, such as SITES, to model the connecting channels (reaches) and dams (structures), playing to the strengths of both models. In this article we discuss the evolving software architecture of DHARMA and its interaction with the Web and Grid infrastructures.
机译：DHARMA特定领域的中间件系统旨在使水文现场工程师无需复杂的计算管理系统，即可以前所未有的规模解决水管理问题。 DHARMA通过互联网提供自动数据采集；来自在线，本地和缓存资源的数据融合；智能缓存中间结果；并行流程执行；不同水文模拟模型之间的数据自动转换和整理；并与现有的元计算系统接口。我们的目标分水岭模型WEPP仅限于使用当前计算机技术的很小的分水岭。通过将各种分水岭模型应用于大型分水岭，例如覆盖925平方英里的Decatur湖分水岭，将在分水岭规模上带来革命性的水文建模变化。即使有无限的计算资源，当前版本的WEPP也不能直接应用于模式十足湖分水岭，因为WEPP的当前实施限制为最多75个山坡。为了解决这个问题，我们现在在软件中集成了对多种仿真模型的支持。例如，我们可以使用WEPP对单个山坡进行建模，并使用另一个模型（例如SITES）对连接通道（到达）和水坝（结构）进行建模，从而发挥两种模型的优势。在本文中，我们讨论了DHARMA不断发展的软件体系结构及其与Web和Grid基础结构的交互。

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