PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics
Summary: PREDIcT forecasts iterative analytics runtime by combining sample-run convergence trends with per-iteration features predictive of full-scale processing costs. It achieves 10–30% error on scale-free graphs, even with 100× iteration-time variability. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Adrian Daniel Popescu (EPFL)
- 2. Andrey Balmin (GraphSQL; IBM)
- 3. Vuk Ercegovac (Google; IBM)
- 4. Anastasia Ailamaki (EPFL)
BibTeX Citation
@article{popescu_vldb13,
title = {{PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics}},
author = {Popescu, Adrian Daniel and Balmin, Andrey and Ercegovac, Vuk and Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {14},
doi = {10.14778/2556549.2556553},
url = {https://doi.org/10.14778/2556549.2556553},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,605 | SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning | 2019 | SIGMOD | 0.00010095581 |
| 1,800 | SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning | 2018 | VLDB | 9.6082185e-05 |
| 6,141 | Expand your Training Limits! Generating Training Data for ML-based Data Management | 2021 | SIGMOD | 5.8708409e-05 |
| 6,758 | Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities | 2022 | SIGMOD | 5.6877154e-05 |
| 9,904 | Auto-Approximation of Graph Computing | 2014 | VLDB | 5.1101476e-05 |
| 11,598 | Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications | 2024 | VLDB | 4.9769913e-05 |
| 11,854 | Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications | 2022 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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