GDD

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Today's hard problems in data management go well beyond the traditional context of Database Management Systems (DBMS). These problems stem from significant evolutions of data, systems and applications. First, data have become much richer and more complex in terms of formats (e.g. multimedia objects), structures (e.g. semi-structured documents), content (e.g. incomplete or imprecise data), size (e.g. very large volumes), and associated semantics (e.g. metadata, code). The management of such data makes it hard to develop data-intensive applications and creates hard performance problems. Second, data management systems need to scale up to support large-distributed systems (such as the Internet or cluster systems) and deal with both fixed and mobile clients. In a highly distributed context, data sources are typically in high numbers, autonomous and heterogeneous, thereby making data integration difficult. Third, this combined evolution of data and systems gives rise to new, typically complex, applications with ubiquitous, on-line data access: virtual libraries, virtual stores, global catalogs, services for personal content management, services for mobile data management, etc.
Today's hard problems in data management go well beyond the traditional context of Database Management Systems (DBMS). These problems stem from significant evolutions of data, systems and applications. First, data have become much richer and more complex in terms of formats (e.g. multimedia objects), structures (e.g. semi-structured documents), content (e.g. incomplete or imprecise data), size (e.g. very large volumes), and associated semantics (e.g. metadata, code). The management of such data makes it hard to develop data-intensive applications and creates hard performance problems. Second, data management systems need to scale up to support large-distributed systems (such as the Internet or cluster systems) and deal with both fixed and mobile clients. In a highly distributed context, data sources are typically in high numbers, autonomous and heterogeneous, thereby making data integration difficult. Third, this combined evolution of data and systems gives rise to new, typically complex, applications with ubiquitous, on-line data access: virtual libraries, virtual stores, global catalogs, services for personal content management, services for mobile data management, etc.
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Latest revision as of 17:15, 14 February 2011



Name : Gestion de Données Distribuées (GDD)

Laboratory : LINA

URL : http://www.lina.univ-nantes.fr/-ATLAS-GDD-.html

Description :

GDD is located at Laboratoire d'Informatique de Nantes Atlantique (LINA) and involves researchers from the University of Nantes working on data management, and distributed systems. GDD has currently 16 member : 8 permanents and 8 Phd students.

Today's hard problems in data management go well beyond the traditional context of Database Management Systems (DBMS). These problems stem from significant evolutions of data, systems and applications. First, data have become much richer and more complex in terms of formats (e.g. multimedia objects), structures (e.g. semi-structured documents), content (e.g. incomplete or imprecise data), size (e.g. very large volumes), and associated semantics (e.g. metadata, code). The management of such data makes it hard to develop data-intensive applications and creates hard performance problems. Second, data management systems need to scale up to support large-distributed systems (such as the Internet or cluster systems) and deal with both fixed and mobile clients. In a highly distributed context, data sources are typically in high numbers, autonomous and heterogeneous, thereby making data integration difficult. Third, this combined evolution of data and systems gives rise to new, typically complex, applications with ubiquitous, on-line data access: virtual libraries, virtual stores, global catalogs, services for personal content management, services for mobile data management, etc.


Tasks :
title
Task1 Coordination
Task6 Scenarios and Evaluations


Members :
Local page CompleteName Url
Desmontils-e Emmanuel Desmontils http://www.univ-nantes.fr/desmontils-e
Hala Hala Skaf-Molli http://pagesperso.lina.univ-nantes.fr/%7Eskaf-h
Khaled Khaled Aslan http://www.lina.univ-nantes.fr/
Luis Luis Daniel Ibáñez http://www.lina.univ-nantes.fr/
Molli Pascal Molli http://pagesperso.lina.univ-nantes.fr/%7Emolli-p
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