Translating the grid: How a translational approach shaped the development of grid computing
Abstract
A growing gap between progress in biological knowledge and improved health outcomes inspired the new discipline of translational medicine, in which the application of new knowledge is an explicit part of a research plan. Abramson and Parashar argue that a similar gap between complex computational technologies and evermore-challenging applications demands an analogous discipline of translational computer science, in which the deliberate movement of research results into large-scale practice becomes a central research focus rather than an afterthought. We revisit from this perspective the development and application of grid computing from the mid-1990s onwards, and find that a translational framing is useful for understanding the technology's development and impact. We discuss how the development of grid computing infrastructure, and the Globus Toolkit, in particular, benefited from a translational approach. We identify lessons learned that can be applied to other translational computer science initiatives.
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1659367
- Alternate Identifier(s):
- OSTI ID: 1824200
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Published Article
- Journal Name:
- Journal of Computational Science
- Additional Journal Information:
- Journal Name: Journal of Computational Science Journal Volume: 52 Journal Issue: C; Journal ID: ISSN 1877-7503
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Grid computing; Translational computer science
Citation Formats
Foster, Ian, and Kesselman, Carl. Translating the grid: How a translational approach shaped the development of grid computing. Netherlands: N. p., 2021.
Web. doi:10.1016/j.jocs.2020.101214.
Foster, Ian, & Kesselman, Carl. Translating the grid: How a translational approach shaped the development of grid computing. Netherlands. https://doi.org/10.1016/j.jocs.2020.101214
Foster, Ian, and Kesselman, Carl. Sat .
"Translating the grid: How a translational approach shaped the development of grid computing". Netherlands. https://doi.org/10.1016/j.jocs.2020.101214.
@article{osti_1659367,
title = {Translating the grid: How a translational approach shaped the development of grid computing},
author = {Foster, Ian and Kesselman, Carl},
abstractNote = {A growing gap between progress in biological knowledge and improved health outcomes inspired the new discipline of translational medicine, in which the application of new knowledge is an explicit part of a research plan. Abramson and Parashar argue that a similar gap between complex computational technologies and evermore-challenging applications demands an analogous discipline of translational computer science, in which the deliberate movement of research results into large-scale practice becomes a central research focus rather than an afterthought. We revisit from this perspective the development and application of grid computing from the mid-1990s onwards, and find that a translational framing is useful for understanding the technology's development and impact. We discuss how the development of grid computing infrastructure, and the Globus Toolkit, in particular, benefited from a translational approach. We identify lessons learned that can be applied to other translational computer science initiatives.},
doi = {10.1016/j.jocs.2020.101214},
journal = {Journal of Computational Science},
number = C,
volume = 52,
place = {Netherlands},
year = {2021},
month = {5}
}
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