Demonstration of ModelarDB: Model-Based Management of High-Frequency Time Series Across Edge, Cloud, and Client
Summary: Demonstrates ModelarDB, a model-based TSMS that compresses high-frequency sensor streams into error-bounded segments at the edge, retaining outliers and fluctuations. Enables SQL/Python analytics across edge, cloud, and client with up to 90–99% less bandwidth/storage than Parquet. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Søren Kejser Jensen (Aalborg University)
- 2. Christian Schmidt Godiksen (Aalborg University)
- 3. Christian Thomsen (Aalborg University)
- 4. Torben Bach Pedersen (Aalborg University)
BibTeX Citation
@article{jensen_vldb25,
title = {{Demonstration of ModelarDB: Model-Based Management of High-Frequency Time Series Across Edge, Cloud, and Client}},
author = {Jensen, Søren Kejser and Godiksen, Christian Schmidt and Thomsen, Christian and Pedersen, Torben Bach},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5247--5250},
doi = {10.14778/3750601.3750643},
url = {https://doi.org/10.14778/3750601.3750643},
year = {2025}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.00029250767 |
| 1,688 | Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees | 2009 | VLDB | 0.00010003536 |
| 11,339 | Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB | 2024 | VLDB | 5.093636e-05 |
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