Elle: Inferring Isolation Anomalies from Experimental Observations
Summary: Elle infers Adya-style dependency graphs from client-observed histories by choosing objects and operations that expose version histories. It soundly detects and distinguishes Adya anomalies (excluding predicates), producing concise explanations and validated results on four databases. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kyle Kingsbury (Jepsen)
- 2. Peter Alvaro (University of California Santa Cruz)
BibTeX Citation
@article{kingsbury_vldb21,
title = {{Elle: Inferring Isolation Anomalies from Experimental Observations}},
author = {Kingsbury, Kyle and Alvaro, Peter},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {3},
pages = {268--280},
doi = {10.14778/3430915.3430918},
url = {https://doi.org/10.14778/3430915.3430918},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 27 of 27 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Calvin: Fast Distributed Transactions for Partitioned Database Systems | 2012 | SIGMOD | 0.00040139242 |
| 245 | Serializable Isolation for Snapshot Databases | 2008 | SIGMOD | 0.00023458287 |
| 754 | Lazy Database Replication with Snapshot Isolation | 2006 | VLDB | 0.00014327706 |
| 2,646 | Allocating Isolation Levels to Transactions | 2005 | PODS | 8.2970356e-05 |
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