Paper on “Context aware benchmarking and tuning of a TByte-scale air quality database and web service” published

The performance of one of the world’s largest databases of near-surface air quality measurements and its services have been benchmarked and tuned with good results. Specifically the on-demand processing of several air quality metrics directly from the database has been in focus. The work publisched online by Earth Science Informatics describes explorating and benchmarking in-database approaches for the statistical processing, which resulted in performance enhancements of up to 32%.