The Science DMZ: A Network Design Pattern for Data-Intensive Science

Journal Article · Wed Jan 01 00:00:00 EST 2014 · Scientific Programming

DOI:https://doi.org/10.1155/2014/701405· OSTI ID:1198061

Dart, Eli ^[1]; Rotman, Lauren ^[1]; Tierney, Brian ^[1]; Hester, Mary ^[1]; Zurawski, Jason ^[2]

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1. Energy Sciences Network, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
2. Internet2, Office of the CTO, Washington DC, USA

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.

• Sponsoring Organization: USDOE
• Grant/Contract Number: AC02-05CH11231
• OSTI ID: 1198061
• Journal Information: Scientific Programming, Journal Name: Scientific Programming Vol. 22 Journal Issue: 2; ISSN 1058-9244
• Publisher: Hindawi Publishing Corporation
• Country of Publication: Egypt
• Language: English