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Topic 5 Parallel and Distributed Databases

  • Marta Patiño-Martinez
  • Genoveva Vargas-Solar
  • Elena Baralis
  • Bettina Kemme
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4641)

Abstract

Advances in data exploitation (access, query, retrieval, analysis, mining) are inherent to current and future information systems. Today, accessing great volumes of information is reality; tomorrow data intensive management systems will enable huge user communities to transparently access multiple pre-existing autonomous, distributed and heterogeneous resources (data, documents, 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 databases 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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Marta Patiño-Martinez
  • Genoveva Vargas-Solar
  • Elena Baralis
  • Bettina Kemme

There are no affiliations available

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