Storage is the new challenge in large-scale computing systems. On the one hand, machines in 2020 are expected to break the exaflop barrier (Exascale). This new computational performance should be in pace with a similar increase in storage capacity and performance, otherwise bottlenecks will appear and Exascale benefits will not be felt. On the other hand, the exponential growth of available data is leading to what has been called the big-data problem. In this area, many new challenges have appeared, such as accessing the data in an efficient way or enabling the sharing of this data while guaranteeing control of the usage by the owner of the data. The storage-system group at BSC-CNS is actively participating in the research of new abstractions and middleware that will address the aforementioned problems.
- Research new storage abstractions to organise and store data better suited for Exascale and big-data challenges.
- Implement production-quality middleware solutions based on the proposed new abstractions to mitigate the Exascale and big-data problems.
- Evaluate the potential of virtualisation to improve both efficiency and usability of storage systems.