Computational and data Grids in large-scale science and engineering

As the practice of science moves beyond the single investigator due to the complexity of the problems that now dominate science, large collaborative and multi-institutional teams are needed to address these problems. In order to support this shift in science, the computing and data-handling infrastr...

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Bibliographic Details
Published in:Future generation computer systems 2002-10, Vol.18 (8), p.1085-1100
Main Author: Johnston, William E.
Format: Article
Language:English
Subjects:
DOE Science Grid
Grid applications
Grids
Heterogeneous
NASA’s Information Power Grid (IPG)
Widely distributed computing
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Summary:As the practice of science moves beyond the single investigator due to the complexity of the problems that now dominate science, large collaborative and multi-institutional teams are needed to address these problems. In order to support this shift in science, the computing and data-handling infrastructure that is essential to most of modern science must also change in order to support this increased complexity. This is the goal of computing and data Grids: software infrastructure that facilitates solving large-scale problems by providing the mechanisms to access, aggregate, and manage the computer network-based infrastructure of science. This infrastructure includes computing systems, data archive systems, scientific instruments, and computer-mediated human collaborations. This paper examines several large-scale science problems, their requirements for computing and data Grid infrastructure, and the current approaches to providing the necessary functionality.
ISSN:0167-739X
1872-7115
DOI:10.1016/S0167-739X(02)00087-0