A Flexible Forecasting Stack
Summary: Modular forecasting stack unifying deep and classical methods, automating model selection, and scaling to non‑stationary, many‑series workloads via GluonTS/AutoGluon on SageMaker. Basis for AWS Forecast/Canvas; shares predictive and provisioning lessons from DynamoDB/Redshift/Athena. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Tim Januschowski
- 2. Yuyang Wang
- 3. Jan Gasthaus
- 4. Syama Rangapuram
- 5. Caner Türkmen
- 6. Jasper Zschiegner
- 7. Lorenzo Stella
- 8. Michael Bohlke-Schneider
- 9. Danielle Maddix
- 10. Konstantinos Benidis
- 11. Alexander Alexandrov
- 12. Christos Faloutsos
- 13. Sebastian Schelter
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,670 | Amazon DynamoDB: A Seamlessly Scalable Non-relational Datastore | 2012 | SIGMOD | 0.00010953756 |
| 2,163 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.3949234e-05 |
| 3,844 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB | 6.7076451e-05 |
| 4,888 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 5.8531064e-05 |
| 5,257 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 5.6003925e-05 |
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| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,539 | FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data | 2021 | VLDB | 4.1945683e-05 |
| 3,934 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB | 6.6175631e-05 |
| 4,593 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 6.0606891e-05 |
| 3,445 | Processing Forecasting Queries | 2007 | VLDB | 7.08644e-05 |
| 3,184 | AutoAI-TS: AutoAI for Time Series Forecasting | 2021 | SIGMOD | 7.4198086e-05 |
| 2,163 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.3949234e-05 |
| 6,768 | Database Workload Capacity Planning using Time Series Analysis and Machine Learning | 2020 | SIGMOD | 4.9321997e-05 |
| 5,257 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 5.6003925e-05 |
| 4,476 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.1517903e-05 |
| 4,888 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 5.8531064e-05 |