Advertisement

Introduction

  • Alex Szalay
  • Djoerd Hiemstra
  • Alfons Kemper
  • Manuel Prieto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5704)

Abstract

Euro-Par Topic 5 addresses data management issues in parallel and distributed computing. Advances in data management (storage, access, querying, retrieval, mining) are inherent to current and future information systems. Today, accessing large volumes of information is a reality: Data-intensive applications enable huge user communities to transparently access multiple pre-existing autonomous, distributed and heterogeneous resources (data, documents, images, services, etc.). Data management solutions need efficient techniques for exploiting and mining large 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 cost-effectively manage and extract data from huge amounts of highly distributed and heterogeneous digital data repositories.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Alex Szalay
  • Djoerd Hiemstra
  • Alfons Kemper
  • Manuel Prieto

There are no affiliations available

Personalised recommendations