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GTLAB: Grid Tag Libraries Supporting Workflows within Science Gateways

机译:GTLAB:支持科学网关内工作流程的网格标签库

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Portlet-based Grid portals have become a crucial part of the cyberinfrastructure by providing component-based problem solving environments for scientists. Although portals aim to provide user-friendly environments with easy-to-use interfaces, the development of portals and their portlet components is time consuming. We aim to provide reusable components for rapid portlet development. Our approach, Grid Tag Libraries and Beans (GTLAB), encapsulates common Grid operations with reusable XML tags. GTLAB also provides a way for creating composite tasks that models the requirements of computational science portals. In previous work, we have introduced Grid tags libraries for the Globus toolkit. In this study, we extend GTLAB to support widely used Condor DAGMan and Taverna workflows for the Grid community. These extended tags demonstrate that large workflows can be integrated within Grid portlets without burdening of developers.
机译:通过为科学家提供基于组件的问题解决环境,基于Portlet的Grid门户已成为网络基础设施的关键部分。尽管门户网站旨在为用户友好的环境提供易于使用的界面,但是门户网站及其Portlet组件的开发非常耗时。我们旨在提供可重用的组件,以快速进行Portlet开发。我们的方法是Grid Tag Libraries and Beans(GTLAB),它通过可重用的XML标签封装了常见的Grid操作。 GTLAB还提供了一种创建组合任务的方法,该任务可以对计算科学门户的需求进行建模。在以前的工作中,我们为Globus工具包引入了Grid标签库。在本研究中,我们扩展了GTLAB,以支持Grid社区广泛使用的Condor DAGMan和Taverna工作流。这些扩展标签表明,大型工作流可以集成到Grid Portlet中,而不会给开发人员带来负担。

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