Reducing Tail Latency in Storage-Disaggregated Database Systems
Summary: Targets OLTP storage-disaggregated DBs (Aurora-like) where log-as-data causes long replay chains and severe P95 tail latency. Replay-as-a-Service decouples replay from storage into an elastic service, cutting replay-induced tails while boosting throughput. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Xi Pang (Purdue University)
- 2. Jianguo Wang (Purdue University)
BibTeX Citation
@inproceedings{pang_sigmod26,
title = {{Reducing Tail Latency in Storage-Disaggregated Database Systems}},
author = {Pang, Xi and Wang, Jianguo},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786688},
url = {https://dl.acm.org/doi/10.1145/3786688},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,440 | DART: A Lock-free Two-layer Hashed ART Index for Disaggregated Memory | 2026 | SIGMOD | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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