The Science DMZ: A Network Design Pattern for Data-Intensive Science
Abstract
The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.
- Authors:
-
- Energy Sciences Network, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Internet2, Office of the CTO, Washington DC, USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1198061
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Scientific Programming
- Additional Journal Information:
- Journal Name: Scientific Programming Journal Volume: 22 Journal Issue: 2; Journal ID: ISSN 1058-9244
- Publisher:
- Hindawi Publishing Corporation
- Country of Publication:
- Egypt
- Language:
- English
Citation Formats
Dart, Eli, Rotman, Lauren, Tierney, Brian, Hester, Mary, and Zurawski, Jason. The Science DMZ: A Network Design Pattern for Data-Intensive Science. Egypt: N. p., 2014.
Web. doi:10.1155/2014/701405.
Dart, Eli, Rotman, Lauren, Tierney, Brian, Hester, Mary, & Zurawski, Jason. The Science DMZ: A Network Design Pattern for Data-Intensive Science. Egypt. https://doi.org/10.1155/2014/701405
Dart, Eli, Rotman, Lauren, Tierney, Brian, Hester, Mary, and Zurawski, Jason. Wed .
"The Science DMZ: A Network Design Pattern for Data-Intensive Science". Egypt. https://doi.org/10.1155/2014/701405.
@article{osti_1198061,
title = {The Science DMZ: A Network Design Pattern for Data-Intensive Science},
author = {Dart, Eli and Rotman, Lauren and Tierney, Brian and Hester, Mary and Zurawski, Jason},
abstractNote = {The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.},
doi = {10.1155/2014/701405},
journal = {Scientific Programming},
number = 2,
volume = 22,
place = {Egypt},
year = {Wed Jan 01 00:00:00 EST 2014},
month = {Wed Jan 01 00:00:00 EST 2014}
}
https://doi.org/10.1155/2014/701405
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