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User Friendly Management of Workflow Results: From Provenance Information to Grid Logical File Names

机译:用户友好管理工作流程结果:从出位信息到网格逻辑文件名

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Grid workflows can produce thousands of results that should be properly organised to enable further analysis. Typically results are stored on locations hard-coded in the workflow or in the components, limiting reusability. In this paper we present an approach to (re)organise the output files generated by a grid workflow in a distributed storage environment. We propose to perform a post-mortem mapping of workflow results into a directory structure. This mapping is based on data provenance information and exploits grid catalog features, namely logical file names, to avoid data replication. By defining different mappings, users can generate their own semantic view of results generated during a workflow execution, which fosters user-friendliness, whereas preserving workflow reusability. An implementation on the Virtual Resource Browser (VBrowser) framework is detailed and evaluated on neuroimaging workflows. Results show that the complex directory structure of an image analysis application cane properly generated by our system. An initial performance evaluation of the mapping resolution and directory structure creation indicates that this approach provides a practical, simple, yet powerful solution to an important roadblock for the adoption of workflows to implement complex image analysis pipelines.
机译:网格工作流程可以产生数千个应妥善组织的结果,以实现进一步分析。通常,结果存储在工作流中的硬编码或组件中的位置,限制可重用性。在本文中,我们介绍了一种方法(重新)组织在分布式存储环境中由网格工作流生成的输出文件。我们建议执行工作流程结果的后验证映射到目录结构。此映射基于数据出处信息并利用网格目录功能即逻辑文件名,以避免数据复制。通过定义不同的映射,用户可以在工作流执行期间生成他们自己的结果的语义视图,这促进了用户友好性,而保留工作流可重用性。虚拟资源浏览器(VBrowser)框架上的实现是在神经影像过程工作流上进行描述的。结果表明,由我们的系统正确生成的图像分析应用程序的复杂目录结构。映射分辨率和目录结构创建的初始性能评估表明,这种方法为采用工作流程实现复杂图像分析管道的重要路障提供了实用,简单而强大的解决方案。

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