Topic 5: Parallel and distributed databases

Abstract

Advances in data management, including store, access, query, retrieval, and analysis, are inherent to current and future information systems. Today, accessing very large volumes of information is a reality. Tomorrow data intensive management systems will enable huge user communities to transparently access multiple preexisting autonomous, distributed and heterogeneous resources (data, documents, images, and services). Existing data management solutions do not provide efficient techniques for exploiting and mining Tera-datasets available in clusters, P2P andGrid architectures. Parallel and distributed file systems, databases, datawarehouses, 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. © 2008 Springer-Verlag Berlin Heidelberg.