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Contrat de l'équipe Intelligence Artificielle et Systèmes d'Inférence
MDP2P

Subvention
Nov. 2003 - Oct. 2006

Equipe : Intelligence Artificielle et Systèmes d'Inférence
Responsable : 

Gestionnaire : 
Organisme gérant : INRIA

Masses de données en pair-à-pair

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.

Activités de recherche
  Intégration d'informations

Membres LRI


Pour en savoir plus : http://www.sciences.univ-nantes.fr/lina/ATLAS/MDP2P
Contrats
° IUF
FABIO MARTIGNON
SUBVENTION

° DIGISCOPE UPS
INFRASTRUCTURE HAUTE PERFORMANCE POUR LA VISUALISATION INTERACTIVE ET COLLABORATIVE
ANR

° DIGISCOPE CNRS
INFRASTRUCTURE HAUTE PERFORMANCE POUR LA VISUALISATION INTERACTIVE ET COLLABORATIVE
ANR

° ATOS/BULL
CONTRAT ATOS/BULL
INDUSTRIEL

° CDS2
CDS2
SUBVENTION