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
- 2. Horatiu Lazu
- 3. Khuzaima Daudjee
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,131 | Sibyl: Forecasting Time-Evolving Query Workloads | 2024 | SIGMOD | 4.5784634e-05 |
| 10,230 | Breaking the Isolation-Freshness Trade-off: Joint Adaptive Storage Optimization for HTAP Systems | 2026 | VLDB | 4.1945683e-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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Semantically Similar Papers
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| 6,321 | Tiresias: A Demonstration of How-To Queries | 2012 | SIGMOD | 5.112523e-05 |
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