Communications of the ACM
Doe Pilots Big Data Infrastructure Projects
Researchers at Lawrence Berkeley National Laboratory recently led four data science pilot projects, to show the potential of a highly focused science data infrastructure.
Credit: U.S. Department of Energy
Lawrence Berkeley National Laboratory researchers recently led four data science pilot projects to demonstrate what could be gained when the facilities and tools were linked to complete specialized research and to show the potential of a highly focused science data infrastructure.
"As each new generation of instruments and supercomputers comes on line, we have to make sure that our scientists have the capabilities to get the science out of that data and [that] these projects illustrate the future directions," says U.S. Department of Energy Office of Advanced Scientific Computing Research director Steven Binkley.
All of the projects examine new technologies with the goal of reusing as many existing tools as possible and developing new software as necessary.
The first project demonstrates the ability to use a central scientific computing facility to serve data from several experimental facilities in multiple formats using the ESnet.
The second project illustrates the super facility concept, which integrates several complementary user facilities into a virtual facility offering greater capabilities.
The third project involves teams building a data pipeline for moving and processing observational data from the Dark Energy Survey.
The fourth project is a multi-lab effort to create a proof-of-concept for some of the challenges associated with domains, including authentication, data replication, data publishing, and a framework for building user interfaces.
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