Societal benefits of the scientific research enabled by this partnership included a better understanding of how US and international market inefficiencies can lead to financial instability; how wind speeds and atmospheric properties impact weather and wind turbine performance; how US water supply systems and river basins can be better managed and protected; how microbial therapies can support health and resolve clinical conditions; and how environmental stewardship can increase food production and security.
The federated cloud with DIBBs storage assets benefited the broader NSF community by serving as a model for campus-to-campus cyberinfrastructure that is scalable and sustainable. It demonstrated how sharing data infrastructure building block capacity across institutional boundaries can create wider science and engineering collaborations and increase data sharing. A community portal provided how-to guides to institutions that wish to replicate this model. Technical documentation and webinars featured best practices and included how to create VM instances, run at federated sites, predict price performance of Aristotle cloud and AWS instances, use containers effectively, and access, move, and store large-scale data.
A new tool for cloud metrics was developed and built into Open XDMoD and features QBETs statistics to make online forecasts of future performance and allocations levels.
A new model for allocations and accounting was also implemented.