Sponsoring & collaboration

Universitat Autònoma de Barcelona

Computer Architecture & Operating Systems department

Universidad de Las Palmas de Gran Canaria

Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería

Gran Canaria Convention Bureau

Cabildo de Gran Canaria

Ayuntamiento de Las Palmas de Gran Canarias



Parallel and Distributed Databases

Description

Advances in data management (store, access, query, retrieval, analysis, mining) are inherent to current and future information systems. Today, accessing great volumes of information is a reality; in the future data intensive management systems will enable huge user communities to transparently access multiple pre-existing autonomous, distributed and heterogeneous resources (data, documents, images, services). Existing data management solutions do not provide efficient techniques for exploiting and mining Tera-datasets available in clusters, peer to peer and Grid architectures. Parallel and distributed file systems, databases, data warehouses, and digital libraries are a key element for achieving scalable, efficient systems that will both cost-effectively manage and extract knowledge from huge amounts of highly distributed and heterogeneous digital data repositories.

Focus

Responsibles

Global chair

Local chair

Doménico Talia
University of Calabria
Italia
Josep Lluis Larriba-Pey
Universitat Politécnica de Catalunya
Spain

Vice chair

Vice chair

Hillol Kargupta
University of Maryland
USA
Esther Pacitti
Université de Nantes
France


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