- Titel
- Parallel and Distributed Databases, Data Mining and Knowledge Discovery
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-864696
- Konferenz
- European Conference on Parallel Processing. Dresden, 28. August - 1. September 2006
- Quellenangabe
- Euro-Par 2006 Parallel Processing
; Euro-Par 2006 Parallel Processing
Herausgeber: Wolfgang E. Nagel
Herausgeber: Wolfgang V. Walter
Herausgeber: Wolfgang Lehner
Erscheinungsort: Berlin
Verlag: Springer
Erscheinungsjahr: 2006
Titel Schriftenreihe: Lecture Notes in Computer Science
Bandnummer Schriftenreihe: 4128
Seiten: 336-336
ISBN: 978-3-540-37784-9 - Erstveröffentlichung
- 2006
- Abstract (EN)
- Managing and efficiently analysing the vast amounts of data produced by a huge variety of data sources is one of the big challenges in computer science. The development and implementation of algorithms and applications that can extract information diamonds from these ultra-large, and often distributed, databases is a key challenge for the design of future data management infrastructures. Today’s data-intensive applications often suffer from performance problems and an inability to scale to high numbers of distributed data sources. Therefore, distributed and parallel databases have a key part to play in overcoming resource bottlenecks, achieving guaranteed quality of service and providing system scalability. The increased availability of distributed architectures, clusters, Grids and P2P systems, supported by high performance networks and intelligent middleware provides parallel and distributed databases and digital repositories with a great opportunity to cost-effectively support key everyday applications. Further, there is the prospect of data mining and knowledge discovery tools adding value to these vast new data resources by automatically extracting useful information from them.
- Andere Ausgabe
- Link zum Artikel, der zuerst bei Springer Link erschienen ist.
DOI: 10.1007/11823285_34 - Freie Schlagwörter (DE)
- Datenmanagement, Verteilte Datenbanken, Skalierbarkeit von Datenbanken
- Freie Schlagwörter (EN)
- Data Management, Distributed Databases, Database Scalability
- Klassifikation (DDC)
- 004
- Verlag
- Springer, Berlin
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-864696
- Veröffentlichungsdatum Qucosa
- 17.07.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
