Title: Using In-Storage Processing to Tame the Big Data Beast
Presenters: Dave Fellinger, Data Direct Networks, Inc., and Reagan Moore, RENCI Chief Scientist for Data Intensive Cyber Environments and Professor UNC School of Information and Library Science
Abstract:
Join two experts in data science for an exploration into the advantages of embedded storage processing, which include reduced latencies, decreased network traffic, improved availability and simplified management for capacity-rich and I/O-intensive workloads. Potential uses of embedded storage processing include enhancing data indexing functionality, encrypting sensitive data, and more. As part of the presentation, Reagan Moore will profile his work to design approaches for automating feature detection within data sets through using iRODS policies and procedures within the storage controller.
About the presenters:
Dave Fellinger brings over 30 years of experience in engineering to his role as Chief Scientist for DDN. His past work includes film systems, ASIC design and development, GaAs semiconductor manufacturing, RAID and storage systems, and video processing devices. He has architected high performance storage systems for the world’s fastest supercomputers. Fellinger attended Carnegie-Mellon University and holds patents in optics, motion control, video processing, and pattern recognition.
Reagan Moore, Ph.D., is a research scientist who has led many collaborative data research projects involving the development of data grids, digital libraries, and preservation environments. He leads the Data Intensive Cyber Environments research group at UNC-Chapel Hill and UC San Diego, which developed iRODS, the integrated Rule-Oriented Data System. Before coming to North Carolina, Moore was director of data and knowledge systems at the San Diego Supercomputer Center.
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