Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB

Summary: ModelarDB: a model-based TSMS for edge-to-cloud high-frequency wind-turbine series that unifies efficient ingestion, bounded-error lossy and superior lossless compression to reduce storage and transfer. On real datasets vs three baselines: up to 2× lossless, 4.6× lossy (or similar compression with orders‑of‑magnitude less error) and up to 10× transfer efficiency. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13904
Venue: VLDB
Year: 2024
Pagerank: 5.093636e-05
Overall Rank: 11,339 | 22.21%
DOI: 10.14778/3704965.3704978

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Abduvoris Abduvakhobov (Aalborg University)
2. Søren Kejser Jensen (Aalborg University)
3. Torben Bach Pedersen (Aalborg University)
4. Christian Thomsen (Aalborg University)

BibTeX Citation

@article{abduvakhobov_vldb24,
        title = {{Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB}},
        author = {Abduvakhobov, Abduvoris and Jensen, Søren Kejser and Pedersen, Torben Bach and Thomsen, Christian},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {13},
        pages = {4723--4732},
        doi = {10.14778/3704965.3704978},
        url = {https://doi.org/10.14778/3704965.3704978},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,022	Demonstration of ModelarDB: Model-Based Management of High-Frequency Time Series Across Edge, Cloud, and Client	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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
190	Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases	2001	SIGMOD	0.00026105472
1,280	Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials	2004	SIGMOD	0.00011354776
1,364	Chimp: Efficient Lossless Floating Point Compression for Time Series Databases	2022	VLDB	0.00011020069
1,608	Apache IoTDB: Time-series Database for Internet of Things	2020	VLDB	0.00010227331
1,688	Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees	2009	VLDB	0.00010003536
1,973	ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra	2018	VLDB	9.3673522e-05
3,793	Apache IoTDB: A Time Series Database for IoT Applications	2023	SIGMOD	7.1217835e-05
4,762	Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB	2022	VLDB	6.519484e-05
7,033	Frequency Domain Data Encoding in Apache IoTDB	2023	VLDB	5.7222622e-05
7,414	GAMPS: Compressing Multi Sensor Data by Grouping and Amplitude Scaling	2009	SIGMOD	5.624223e-05
13,496	Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series	2019	SIGMOD	-

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