SCHEDULE: NOV 16-22, 2013
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The Science DMZ: A Network Design Pattern for Data-Intensive Science
SESSION: Improving Large-Scale Computation and Data Resources
EVENT TYPE: Papers, Awards, Best Paper Finalists
TIME: 3:30PM - 4:00PM
SESSION CHAIR: Robert A. Ballance
AUTHOR(S):Eli Dart, Lauren Rotman, Brian Tierney, Mary Hester, Jason Zurawski
ROOM:205/207
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.
Chair/Author Details:
Robert A. Ballance (Chair) - Sandia National Laboratories
Eli Dart - Lawrence Berkeley National Laboratory
Lauren Rotman - Lawrence Berkeley National Laboratory
Brian Tierney - Lawrence Berkeley National Laboratory
Mary Hester - Lawrence Berkeley National Laboratory
Jason Zurawski - Internet2
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The full paper can be found in the ACM Digital Library
