Outback: Fast and Communication-efficient Index for Key-Value Store on Disaggregated Memory
Summary: Outback uses dynamic minimal perfect hashing to split KVS indexing: compute-heavy metadata resides at compute nodes, while memory nodes serve a lightweight component. This enables one-round-trip RDMA without memory-node computation, outperforming one-/two-sided RDMA KVS by 1.06–5.03×. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yi Liu (University of California Santa Cruz)
- 2. Minghao Xie (University of California Santa Cruz)
- 3. Shouqian Shi (University of California Santa Cruz)
- 4. Yuanchao Xu (University of California Santa Cruz)
- 5. Heiner Litz (University of California Santa Cruz)
- 6. Chen Qian (University of California Santa Cruz)
BibTeX Citation
@article{liu_vldb25,
title = {{Outback: Fast and Communication-efficient Index for Key-Value Store on Disaggregated Memory}},
author = {Liu, Yi and Xie, Minghao and Shi, Shouqian and Xu, Yuanchao and Litz, Heiner and Qian, Chen},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {335--348},
doi = {10.14778/3705829.3705849},
url = {https://doi.org/10.14778/3705829.3705849},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,605 | SHARD: A Scalable and Resize-optimized Hash Index on Disaggregated Memory | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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