The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets
The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets
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DOI：
10.1006/jnca.2000.0110
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发表时间：
2000-07
期刊：
影响因子：
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通讯作者：
A. Chervenak;Ian T Foster;C. Kesselman;C. Salisbury;S. Tuecke
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文献类型：
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作者：
A. Chervenak;Ian T Foster;C. Kesselman;C. Salisbury;S. Tuecke
在越来越多的科学学科中，大量数据集合正在成为重要的社区资源。在本文中，我们介绍了称为数据网格的数据管理架构的设计原则。我们描述了我们认为对于数据网格设计至关重要的两项基本服务，即存储系统和元数据管理。接下来，我们将解释如何使用这些服务来开发用于副本管理和副本选择的更高级别的服务。最后，我们描述了数据网格功能的初始实现。
In an increasing number of scientific disciplines, large data collections are emerging as important community resources. In this paper, we introduce design principles for a data management architecture called the data grid. We describe two basic services that we believe are fundamental to the design of a data grid, namely, storage systems and metadata management. Next, we explain how these services can be used to develop higher-level services for replica management and replica selection. We conclude by describing our initial implementation of data grid functionality.