KerData is a joint research team of Inria Rennes – Bretagne Atlantique, ENS Rennes and INSA Rennes and a team of the IRISA lab.
Leader: Gabriel Antoniu, Research Director at Inria
Our research activities address the area of distributed data management at challenging scales, with a particular focus on clouds and postpetascale HPC architectures. We address the requirements of data-oriented high-performance applications that exhibit the need to handle massive non structured data – BLOBs: binary large objects (on the order of terabytes) – stored in a large number (thousands to tens of thousands), accessed under heavy concurrency by a large number of clients (thousands to tens of thousands at a time) with a relatively fine access grain (on the order of megabytes). Examples of such applications are:
Extreme-scale HPC simulations generating massive amounts of data
Cloud data analysis applications (e.g., based on the MapReduce paradigm) handling massive data, potentially geo- distributed at a large scale
- Applications with high requirements in terms of real-time stream processing
Our approach strongly relies on experimentation on the Grid’5000 platform, on top supercomputers and on reference cloud platforms.