Cicada: Dependably Fast Multi-Core In-Memory Transactions
Summary: Single-node, multi-core in-memory transactional DB with serializable guarantees. Optimistic MVCC with loosely synchronized distributed clocks, best-effort inlining, and global contention-aware backoff deliver high throughput across diverse workloads, enabling tens of millions of transactions per second on a single machine and outperforming prior designs on TPC-C/YCSB. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hyeontaek Lim (Carnegie Mellon University)
- 2. Michael Kaminsky (Intel)
- 3. David G. Andersen (Carnegie Mellon University)
BibTeX Citation
@inproceedings{lim_sigmod17,
title = {{Cicada: Dependably Fast Multi-Core In-Memory Transactions}},
author = {Lim, Hyeontaek and Kaminsky, Michael and Andersen, David G.},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064015},
url = {https://dl.acm.org/doi/10.1145/3035918.3064015},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 56 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,893 | Using Read Promotion and Mixed Isolation Levels for Performant Yet Serializable Execution of Transaction Programs | 2025 | VLDB | 5.093636e-05 |
| 10,965 | Enhancing Transaction Processing through Indirection Skipping | 2025 | VLDB | 5.093636e-05 |
| 11,195 | On the Feasibility and Benefits of Extensive Evaluation | 2024 | SIGMOD | 5.093636e-05 |
| 11,279 | Cloud Actor-Oriented Database Transactions in Orleans | 2024 | VLDB | 5.093636e-05 |
| 11,526 | Robustness Against Read Committed: A Free Transactional Lunch | 2022 | PODS | 5.093636e-05 |
| 11,747 | Efficient Hard Real-Time Transaction Processing - Unachievable in Software | 2020 | CIDR | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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