Tiresias: Enabling Predictive Autonomous Storage and Indexing
Summary: Tiresias predicts latency by learning data-access costs across storage layouts for HTAP workloads. Collecting latencies and histories online enables autonomous storage/index adaptation; experiments show predictive benefits and trade-offs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Abebe (University of Waterloo)
- 2. Horatiu Lazu (University of Waterloo)
- 3. Khuzaima Daudjee (University of Waterloo)
BibTeX Citation
@article{abebe_vldb22,
title = {{Tiresias: Enabling Predictive Autonomous Storage and Indexing}},
author = {Abebe, Michael and Lazu, Horatiu and Daudjee, Khuzaima},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {3126--3136},
doi = {10.14778/3551793.3551857},
url = {https://doi.org/10.14778/3551793.3551857},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,580 | Sibyl: Forecasting Time-Evolving Query Workloads | 2024 | SIGMOD | 5.5925285e-05 |
| 10,518 | Breaking the Isolation-Freshness Trade-off: Joint Adaptive Storage Optimization for HTAP Systems | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 36 of 36 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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