The Data Grid: Towards an Architecture for the Distributed Management and Analysis of Large Scientific Datasets (1999)
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| Venue: | JOURNAL OF NETWORK AND COMPUTER APPLICATIONS |
| Citations: | 349 - 39 self |
BibTeX
@ARTICLE{Chervenak99thedata,
author = {Ann Chervenak and Ian Foster and Carl Kesselman and Charles Salisbury and Steven Tuecke},
title = {The Data Grid: Towards an Architecture for the Distributed Management and Analysis of Large Scientific Datasets},
journal = {JOURNAL OF NETWORK AND COMPUTER APPLICATIONS},
year = {1999},
volume = {23},
pages = {187--200}
}
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Abstract
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.
