GriPhyN and LIGO, building a Virtual Data Grid for gravitational wave scientists

被引：48

作者：

Deelman, E ^{[1
]}

Kesselman, C ^{[1
]}

Mehta, G ^{[1
]}

Meshkat, L ^{[1
]}

Pearlman, L ^{[1
]}

Blackburn, K ^{[1
]}

Ehrens, P ^{[1
]}

Lazzarini, A ^{[1
]}

Williams, R ^{[1
]}

Koranda, S ^{[1
]}

机构：

[1] Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90292 USA

来源：

11TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTING, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/HPDC.2002.1029922

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. In this paper, we describe our initial design and prototype of a Virtual Data Grid for LIGO.

引用

页码：225 / 234

页数：10

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