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Running a distributed virtual observatory: U.S. Virtual Astronomical Observatory operations

机译:运行分布式虚拟天文台:美国虚拟天文台运营

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摘要

Operation of the US Virtual Astronomical Observatory shares some issues with modern physical observatories, e.g., intimidating data volumes and rapid technological change, and must also address unique concerns like the lack of direct control of the underlying and scattered data resources, and the distributed nature of the observatory itself. In this paper we discuss how the VAO has addressed these challenges to provide the astronomical community with a coherent set of science-enabling tools and services. The distributed nature of our virtual observatory-with data and personnel spanning geographic, institutional and regime boundaries-is simultaneously a major operational headache and the primary science motivation for the VAO. Most astronomy today uses data from many resources. Facilitation of matching heterogeneous datasets is a fundamental reason for the virtual observatory. Key aspects of our approach include continuous monitoring and validation of VAO and VO services and the datasets provided by the community, monitoring of user requests to optimize access, caching for large datasets, and providing distributed storage services that allow user to collect results near large data repositories. Some elements are now fully implemented, while others are planned for subsequent years. The distributed nature of the VAO requires careful attention to what can be a straightforward operation at a conventional observatory, e.g., the organization of the web site or the collection and combined analysis of logs. Many of these strategies use and extend protocols developed by the international virtual observatory community. Our long-term challenge is working with the underlying data providers to ensure high quality implementation of VO data access protocols (new and better 'telescopes'), assisting astronomical developers to build robust integrating tools (new 'instruments'), and coordinating with the research community to maximize the science enabled.
机译:美国虚拟天文台的运作与现代物理天文台存在一些问题,例如,令人恐惧的数据量和快速的技术变革,还必须解决独特的问题,例如缺乏对基础数据和分散数据资源的直接控制以及数据的分散性天文台本身。在本文中,我们讨论了VAO如何应对这些挑战,从而为天文学界提供一套连贯的科学支持工具和服务。虚拟天文台的分布特性-数据和人员跨越地理,机构和政权的边界-同时是VAO的主要操作难题和主要科学动机。如今,大多数天文学都使用来自许多资源的数据。简化异构数据集的匹配是虚拟天文台的根本原因。我们方法的关键方面包括持续监视和验证VAO和VO服务以及社区提供的数据集,监视用户请求以优化访问,缓存大型数据集,并提供分布式存储服务,允许用户在大数据附近收集结果仓库。现在已经完全实施了某些要素,而其他要素则计划在以后的几年中使用。 VAO的分布式性质需要仔细注意在常规天文台上的简单操作,例如网站的组织或日志的收集和组合分析。其中许多策略都使用和扩展了国际虚拟天文台社区开发的协议。我们的长期挑战是与基础数据提供商合作,以确保VO数据访问协议(新的和更好的“望远镜”)的高质量实现,协助天文开发人员构建健壮的集成工具(新的“仪器”),并与研究界可以最大限度地利用科学。

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