大型数据设施的数据管理和分析

A. García, S. Bourov, A. Hammad, T. Jejkal, Jens C. Otte, S. Pfeiffer, T. Schenker, Christian Schmidt, J. V. Wezel, Bernhard Neumair, A. Streit
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引用次数: 6

摘要

大规模数据设施(LSDF)于2009年底在卡尔斯鲁厄理工学院(KIT)启动,以满足其数据密集型实验对增值存储服务日益增长的需求。该项目的主要重点是为科学界提供必要的硬件基础设施,以及为数据管理、处理和保存提供足够的增值服务和支持。在这项工作中,我们描述了项目的基础设施和服务设计,以及它的元数据处理。开发了社区特定的元数据方案、元数据存储库、应用程序编程接口和用于访问资源的图形工具,以进一步支持合作科学社区的处理工作流程。详细介绍了用于生物医学过程研究的高通量显微镜图像的分析工作流程。
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Data management and analysis at the Large Scale Data Facility
The Large Scale Data Facility (LSDF) was started at the Karlsruhe Institute of Technology (KIT) end of 2009 to address the growing need for value-added storage services for its data intensive experiments. The main focus of the project is to provide scientific communities producing data collections in the tera — to petabyte range with the necessary hardware infrastructure as well as with adequate value-added services and support for the data management, processing, and preservation. In this work we describe the project's infrastructure and services design, as well as its meta data handling. Both community specific meta data schemes, a meta data repository, an application programming interface and a graphical tool for accessing the resources were developed to further support the processing workflows of the partner scientific communities. The analysis workflow of high throughput microscopy images for studying biomedical processes is described in detail.
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