KerData: Cloud and Grid Storage for Very Large Distributed Data

KerData is a joint research team of INRIA Rennes - Bretagne Atlantique and ENS Cachan - Antenne de Bretagne, created on the 1st of July 2009.

Our research activities address the area of distributed data management at challenging scales, on grids and clouds. We target 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:

• Grid and cloud data-mining applications handling massive data distributed at a large scale.
• Data management cloud services.
• Distributed storage for large-scale PetaFLOP computing applications.
• Storage for desktop grid applications with high write throughput requirements, e.g., checkpointing.
• Storage support for extremely large databases.

Our approach strongly relies on experimentation on the Grid'5000 platform.

Here are more details about our research topics.

A brief presentation of our research program is available here: Slides.

The KerData team has been created from the PARIS project-team.

The 2009 activity report of KerData is now available kerdata2009.pdf.