O3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading

Summary: O3-LSM introduces three-layer offloading for disaggregated LSM-KVS: memtables, flushes, and compactions, using DM, collaborative scheduling, and shard parallelism. It delivers up to 4.5× write and 5.2× range-query throughput, with adaptive delegated reads. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID: h1abebd40854b429a
Venue: SIGMOD
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,486 | 29.50%
DOI: 10.1145/3802093

Incoming Non-self Citations Over Time

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Authors

1. Qi Lin (Arizona State University)
2. Gangqi Huang (Arizona State University)
3. Te Guo (Purdue University)
4. Chang Guo (Arizona State University)
5. Viraj Thakkar (Arizona State University)
6. Zhichen Zhu (Boston University)
7. Jianguo Wang (Purdue University)
8. Zhichao Cao (Arizona State University)

BibTeX Citation

@inproceedings{lin_sigmod26,
        title = {{O3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading}},
        author = {Lin, Qi and Huang, Gangqi and Guo, Te and Guo, Chang and Thakkar, Viraj and Zhu, Zhichen and Wang, Jianguo and Cao, Zhichao},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802093},
        url = {https://dl.acm.org/doi/10.1145/3802093},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
436	Optimizing Space Amplification in RocksDB	2017	CIDR	0.00018319035
1,313	X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing	2019	SIGMOD	0.00011060108
1,343	PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers	2021	SIGMOD	0.00010963588
1,366	Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks	2019	SIGMOD	0.00010912114
1,569	Compaction management in distributed key-value datastores	2015	VLDB	0.00010211433
1,966	Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory	2022	SIGMOD	9.3039057e-05
2,350	Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs	2020	VLDB	8.5984201e-05
2,868	Spooky: Granulating LSM-Tree Compactions Correctly	2022	VLDB	7.9241972e-05
3,135	Rethinking Data Management Systems for Disaggregated Data Centers	2020	CIDR	7.6092468e-05
3,641	Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store	2021	SIGMOD	7.1439198e-05
3,940	DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory	2022	VLDB	6.9139581e-05
4,041	Disaggregating RocksDB: A Production Experience	2023	SIGMOD	6.8371576e-05
4,201	The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation	2023	VLDB	6.7375318e-05
5,949	DEX: Scalable Range Indexing on Disaggregated Memory	2024	VLDB	5.9368754e-05
7,079	Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases	2024	SIGMOD	5.6049309e-05
7,241	CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure	2024	SIGMOD	5.5777445e-05
9,627	SHIELD: Encrypting Persistent Data of LSM-KVS from Monolithic to Disaggregated Storage	2025	SIGMOD	5.1482651e-05
11,299	Cache Coherence Over Disaggregated Memory	2025	VLDB	4.9793485e-05

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