5 papers
Towards Serverless Processing of Spatiotemporal Big Data Queries
Diana Baumann, Tim C. Rese, David Bermbach
Spatiotemporal data are being produced in continuously growing volumes by a variety of data sources and a variety of application fields rely on rapid analysis of such data. Existin…
Spatial Analysis on Value-Based Quadtrees of Rasterized Vector Data
Diana Baumann, Nils Japke, Tim C. Rese +1
Mobility data science offers insights into the complex interconnections of spatial data of moving objects and their surroundings, often based on a combination of vector and raster…
GeoBenchr: An Application-Centric Benchmarking Suite for Spatiotemporal Database Platforms
Tim C. Rese, Nils Japke, Diana Baumann +2
The rapid growth of spatiotemporal data volumes needs to be handled by database systems capable of efficiently managing and querying such data. Existing systems such as PostGIS, Sp…
Towards an Application-Centric Benchmark Suite for Spatiotemporal Database Systems
Tim C. Rese, David Bermbach
Spatiotemporal data play a key role for mobility-based applications and are their produced volume is growing continuously, among others, due to the increased availability of IoT de…
Evaluating the Impact Of Spatial Features Of Mobility Data and Index Choice On Database Performance
Tim C. Rese, Alexandra Kapp, David Bermbach
The growing number of moving Internet-of-Things (IoT) devices has led to a surge in moving object data, powering applications such as traffic routing, hotspot detection, or weather…