The National Science Foundation has awarded Washington University a grant of $475,590 to progress...
- To create a Research and Big Data (RBD) DMZ using concepts outlined by ESnet to isolate RBD traffic from everyday administrative, curricular and medical traffic. This RBD-DMZ will have internal routing capabilities of 40 Gbps and external connections to Internet2 at 10 Gbps to designated research data centers.
- To deploy the RBD-DMZ in order to provide increased bandwidth and access to Research Data Centers (RDCs), which are located in existing data centers on the two campuses of Washington University. This deployment will also support co-location, high performance computing and PB-scale storage services. As a result of the proposed project, RDCs will have redundant, 10- Gbps connectivity between each other and will share a 10-Gbps link to Internet2.
- Assuming completion of 1 and 2 above, Software Defined Networking (SDN) capability will be implemented to improve security, flexibility, and scalability.
The Washington University’s Research Network (WURN) scope is to enhance the university’s cyber infrastructure by creating a pan-campus research network that increases access to and enables the transport, analysis, and dissemination of big data within and beyond the university. Researchers at Washington University are making strides in the generation, annotation, and dissemination of different forms of big data. These data cover a broad range of topics and include materials science, molecular and microscopic simulations, planetary and atmospheric sciences, genomics, cellular and organ level imaging, and the development of social and public health policies.
Washington University in St. Louis has embraced the importance of high performance computing and the prominent role that big data play in enabling discoveries in the sciences, medicine, and formulation of social/public health policies. The university recognizes that state of the art research requires access to local and remote data sources and computing resources. Further, we understand the obligation to share reusable data resources with the global research community.