31 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…
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…
FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning
Fabian Stricker, Jose A. Peregrina, David Bermbach +1
Performance evaluation is essential for assessing the quality of machine learning (ML) models and guiding deployment decisions. In federated learning (FL), assessing the performanc…
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…
FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
Minghe Wang, Trever Schirmer, Mohammadreza Malekabbasi +1
Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying MoE models requires al…