The Science DMZ paradigm is flexible, and can be adapted to many use cases. The design integrates four key concepts into a unified whole that together serve as a foundation for this model. These include:
- A network architecture explicitly designed for high-performance applications, where the science network is distinct from the general-purpose network.
- The use of dedicated systems for data transfer.
- Performance measurement and network testing systems that are regularly used to characterize the network and are available for troubleshooting.
- Security policies and enforcement mechanisms that are tailored for high performance science environments.
- E. Dart, L. Rotman, B. Tierney, M. Hester and J. Zurawski, "The Science DMZ: A network design pattern for data-intensive science," 2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Denver, CO, 2013, pp. 1-10. doi: 10.1145/2503210.2503245
- ESnet Fasterdata Knowledge Base
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