GriPhyN and LIGO, building a virtual data Grid for gravitational wave scientists

E. Deelman, C. Kesselman, Gaurang Mehta, L. Meshkat, L. Pearlman, K. Blackburn, P. Ehrens, A. Lazzarini, Roy Williams, S. Koranda
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引用次数: 156

Abstract

Many Physics experiments today generate large volumes of data. That data is then processed in a variety of ways in order to achieve the understanding of fundamental physical phenomena. The goal of the NSF-funded GriPhyN project (Grid Physics Network) is to enable scientists to seamlessly access data whether it is raw experimental data or a data product which is a result of further processing. GriPhyN provides a new degree of transparency in how data-handling and processing capabilities are integrated to deliver data products to end-users or applications, so that requests for such products are easily mapped into computation and/or data access at multiple locations. GriPhyN refers to the set of all data products available to the user as virtual data. Among the physics applications participating in the project is the Laser Interferometer Gravitational-wave Observatory (LIGO), which is being built to observe the gravitational waves predicted by general relativity. We describe our initial design and prototype of a virtual data Grid for LIGO.
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GriPhyN和LIGO,为引力波科学家建立虚拟数据网格
今天许多物理实验产生大量的数据。然后用各种方法处理这些数据,以实现对基本物理现象的理解。美国国家科学基金会资助的GriPhyN项目(网格物理网络)的目标是使科学家能够无缝地访问数据,无论是原始实验数据还是经过进一步处理的数据产品。GriPhyN在如何集成数据处理和处理功能以向最终用户或应用程序交付数据产品方面提供了新的透明度,因此对此类产品的请求可以轻松地映射到多个位置的计算和/或数据访问。GriPhyN指的是作为虚拟数据提供给用户的所有数据产品的集合。参与该项目的物理应用项目包括激光干涉仪引力波天文台(LIGO),该天文台是为了观测广义相对论预测的引力波而建造的。我们描述了LIGO虚拟数据网格的初步设计和原型。
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