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Practitioners currently use solutions that only solve some of these. In this paper, we evaluate the Time Series Management System ModelarDB, a solution that meets all four challenges by efficiently managing time series across the entire pipeline. We compare it to three commonly used alternatives and evaluate different aspects of them in a realistic edge-to-cloud scenario with real-life datasets. For lossless compression, ModelarDB achieves up to 2x better compression and 1.2x better transfer efficiency. For lossy compression, ModelarDB achieves up to 4.6x better compression and 10x better transfer efficiency, or similar compression with orders of magnitude less error.<\/jats:p>","DOI":"10.14778\/3704965.3704978","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T17:22:57Z","timestamp":1739899377000},"page":"4723-4732","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB"],"prefix":"10.14778","volume":"17","author":[{"given":"Abduvoris","family":"Abduvakhobov","sequence":"first","affiliation":[{"name":"Aalborg University, Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S\u00f8ren Kejser","family":"Jensen","sequence":"additional","affiliation":[{"name":"Aalborg University, Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Torben Bach","family":"Pedersen","sequence":"additional","affiliation":[{"name":"Aalborg University, Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Thomsen","sequence":"additional","affiliation":[{"name":"Aalborg University, Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,2,18]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"MORE: Management of Real-time Energy Data. https:\/\/www.more2020.eu\/. 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