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On the Feasibility and Benefits of Extensive Evaluation
Summary: Examines the feasibility and benefits of extensive evaluation in data management via incremental sampling and ANOVA-based prediction to approximate full parameter sweeps. Finds mixed predictability: some systems need few samples, others not; random sampling + ANOVA often matches full results, with guidance to improve artifact predictability and sampling strategies.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6968
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,985 | 23.66%
- DOI
-
10.1145/3677137
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 122 |
Calvin: Fast Distributed Transactions for Partitioned Database Systems |
2012 |
SIGMOD |
0.0004532783 |
| 1,066 |
Cicada: Dependably Fast Multi-Core In-Memory Transactions |
2017 |
SIGMOD |
0.00014340396 |
| 1,431 |
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control |
2017 |
VLDB |
0.00012021808 |
| 2,370 |
Aria: A Fast and Practical Deterministic OLTP Database |
2020 |
VLDB |
8.9457118e-05 |
| 2,545 |
Efficient Distributed Memory Management with RDMA and Caching |
2018 |
VLDB |
8.5616487e-05 |
| 2,548 |
An Evaluation of Distributed Concurrency Control |
2017 |
VLDB |
8.5594603e-05 |
| 3,416 |
An Evaluation of the Advantages and Disadvantages of Deterministic Database Systems |
2014 |
VLDB |
7.1162306e-05 |
| 4,725 |
STAR: Scaling Transactions through Asymmetric Replication |
2019 |
VLDB |
5.9635555e-05 |
| 5,088 |
Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture |
2020 |
VLDB |
5.7023581e-05 |
| 7,896 |
An Analysis of Concurrency Control Protocols for In-Memory Databases with CCBench |
2020 |
VLDB |
4.6188106e-05 |
| 8,621 |
A Study of Database Performance Sensitivity to Experiment Settings |
2022 |
VLDB |
4.4787515e-05 |
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