A Metropolitan Area Infrastructure for Data Intensive Science
David Abramson, Jake Carroll, Chao Jin, Michael Mallon · 2017
The increasing amount of data being collected from simulations, instruments and sensors creates challenges for existing e-Science infrastructure. In particular, it requires new ways of storing, distributing and processing data in order to cope with both the volume and velocity of the data. The University of Queensland has recently designed and deployed MeDiCI, a data fabric that spans the metropolitan area and provides seamless access to data regardless of where it is created, manipulated and archived. MeDiCI is novel in that it exploits temporal and spatial locality to move data on demand in an automated manner. This means that data only needs to reside locally in high speed storage whilst being manipulated, and it can be archived transparently in high capacity, but slower, technologies at other times. MeDiCI is built on commercially available technologies. In this paper, we describe these innovations and present some early results.