Scientific Programming

Scientific Programming / 2014 / Article
Special Issue

SC13 – The International Conference for High Performance Computing, Networking, Storage and Analysis

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Volume 22 |Article ID 701405 | https://doi.org/10.3233/SPR-140382

Eli Dart, Lauren Rotman, Brian Tierney, Mary Hester, Jason Zurawski, "The Science DMZ: A Network Design Pattern for Data-Intensive Science", Scientific Programming, vol. 22, Article ID 701405, 13 pages, 2014. https://doi.org/10.3233/SPR-140382

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.

Copyright © 2014 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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