In Online Analytic Processing (OLAP) deployments, different users, lines of businesses and business units often create adhoc aggregation hierarchies tailor-made for specific report...
Effective buffer management is crucial for efficient inmemory and streaming XQuery processing. We propose a buffer management scheme which combines static and dynamic analysis to ...
Michael Schmidt, Stefanie Scherzinger, Christoph K...
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this work, we model vie...
We propose a general framework to index very large datasets of spatial data in a distributed system. Our proposal is built on the recently proposed Scalable Distributed Rtree (SD-...