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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)

Paper ID
14153
Venue
VLDB
Year
2025
Pagerank
5.2528121e-05
Overall Rank
9,549 | 34.49%
DOI
10.14778/3705829.3705849

Incoming Non-self Citations Over Time

Authors

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)

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