Massive data in Peer to Peer

The main objective of the project is to provide high-level services for managing text and multimedia data in large-scale P2P systems. Similar to database management systems, these services are not limited to file sharing (like current P2P systems) and need be high-level with query capabilities and transactional support (for data consistency). Furthermore, they must provide good access performance which can be obtained through data replication, distributed query optimization, and parallel query processing. To validate our approach and show its wide range of application, we concentrate on two different P2P contexts that we know well: the Web
and clusters of PC.
The project aims at obtaining:
(a) fundamental contributions in the
various areas investigated in P2P systems and data management;
(b) new algorithms for distributed data management (e.g. replication, query processing) and multimedia data management (e.g. indexing, clustering);
(c) concrete prototypes demonstrating and applying our ideas.

Research activities
  Information integration

Participants


More information : http://www.sciences.univ-nantes.fr/lina/ATLAS/MDP2P