Figueiredo, Renato J.Carey, Cayelan C.Thomas, R. Quinn2025-01-272025-01-272024-11-201521-9615https://hdl.handle.net/10919/124400In this article, we report on our experiences with interdisciplinary projects at the intersection of freshwater ecology, data science, and computer science. The translational research process has progressively led to the development of distributed systems that apply both edge computing and function-as-a-service (FaaS) cloud computing to support end-to-end water quality forecasting workflows across the edge-to-cloud continuum.Pages 68-725 page(s)application/pdfenCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 InternationalCloud computingCollaborationForecastingLakesNext generation networkingPrototypesTrainingTranslational researchWater qualityArticle - Refereedhttps://doi.org/10.1109/MCSE.2024.3430148263Thomas, Robert [0000-0003-1282-7825]Carey, Cayelan [0000-0001-8835-4476]1558-366X