As an informatics approach to brain neuro science research, this project aims at realizing dynamic 3D visualization analytics based on huge detasets created out of brain neural & functional structure observations. The analytics platform is being constructed on the design that embodies the in-storage computing (ISC) concept to enable computation in the storage system and minimizing data transfer.

A high-resolution fluorescent microscopy technology produces brain neural structure data as large as 100TBs in size. Filling the performance gaps among the computing & storage tiers is a critical issue to solve for large scale data analytics on the fly. The constructed system enclosed the high performance hybrid analytical system with ample perpendicular magnetic recording storage pool and fast all-flash storage as a primary store layer for incoming huge data. It also leads the scalable and disaggregated ISC analytics platform.

By the implementation of ISC platforms at the edge of large scale data sources for scalable edge computing, the system provides the innovative quality analytics that derives qualitative values of information from streams of data. We are trying to redefine the storage system with unified functions of huge capacity and analytics for contributions to “Quality of Society”.