Query Evaluation Techniques for Data Integration Systems

In this work we present novel query evaluation techniques for data integration systems in different environments, ranging from a central data-warehouse approach, over distributed virtual market places, to peer-to-peer (P2P) systems. Based on a new distributed evaluation technique, the so-called HyperQueries, we present a reference architecture for distributed virtual market places. These HyperQueries enable us to dynamically construct query evaluation plans by referencing sub-plans in the Internet. Furthermore, the process of data integration is structured. Subsequently, we investigate P2P data integration systems without central instances. We introduce so-called Super-Peers which structure a P2P network. Using this Super-Peer based network we "unroll" queries. This allows us to execute even user-defined operators nearby the data sources. Finally, we propose novel, efficient join algorithms for decision support queries in central data-warehouse systems. The proposed order-preserving hashjoins and generalized hashteams are based on early sorting and early partitioning of the inputs and can speed up the query evaluation up to orders of magnitutes.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Universität Passau

Year

2004

Author dc:creator

• Wiesner, Christian

Contributors dc:contributor

• Kemper, Alfons

• Anfrageauswertung
• Java
• verteilte Datenbanken
• Anfrageoptimierung
• Skalierbarkeit
• query processing
• distributed databases
• query optimization
• scalability

Statement dc:rights

• Standardbedingung laut Einverständniserklärung

Repository record source_url

https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/36

OAI identifier oai:identifier

oai:kobv.de-opus4-uni-passau:36