collaborators

6 papers

cs.DB2026

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…

cs.DC2026

Duet instrumentation: An Agentic Approach to Improving Sensitivity in Cloud Service Benchmarking

Sebastian Koch, Nils Japke, David Bermbach

Continuous cloud service performance benchmarking is essential for detecting performance bugs early before deploying them to production. However, detecting performance regressions…

cs.DB2026

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…

cs.DC2025

Investigating the Impact of Isolation on Synchronized Benchmarks

Nils Japke, Furat Hamdan, Diana Baumann +1

Benchmarking in cloud environments suffers from performance variability from multi-tenant resource contention. Duet benchmarking mitigates this by running two workload versions con…

cs.DC2025

Towards an Optimized Benchmarking Platform for CI/CD Pipelines

Nils Japke, Sebastian Koch, Helmut Lukasczyk +1

Performance regressions in large-scale software systems can lead to substantial resource inefficiencies, making their early detection critical. Frequent benchmarking is essential f…

cs.SE2025

OpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics

Nils Japke, Martin Grambow, Christoph Laaber +1

Performance regressions have a tremendous impact on the quality of software. One way to catch regressions before they reach production is executing performance tests before deploym…