ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads

Summary: ArceKV targets dynamic KV workloads with workload-driven LSM compactions, moving beyond static read/write-ratio tuning. It relaxes traditional LSM constraints via ElasticLSM and uses the lightweight Arce decision engine to choose among compactions/write stalls, yielding ~3x gains on shifting workloads. (summarized by gpt-5.4-mini on Apr 12 2026)

Paper ID: h8e884133dad62b3f
Venue: VLDB
Year: 2026
Pagerank: 5.3759492e-05
Overall Rank: 8,221 | 44.73%
DOI: 10.14778/3796195.3796208

Incoming Non-self Citations Over Time

Authors

1. Junfeng Liu (Nanyang Technological University)
2. Haoxuan Xie (Nanyang Technological University)
3. Siqiang Luo (Nanyang Technological University)

BibTeX Citation

@article{liu_vldb26,
        title = {{ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads}},
        author = {Liu, Junfeng and Xie, Haoxuan and Luo, Siqiang},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {5},
        pages = {958--972},
        doi = {10.14778/3796195.3796208},
        url = {https://doi.org/10.14778/3796195.3796208},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,725	How to Write to SSDs	2026	VLDB	4.9793485e-05
10,856	How Much Can RocksDB Chew? Achieving Near-Zero Write Stalls with Sustainable RocksDB	2026	VLDB	4.9793485e-05
11,063	Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage	2026	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 45 of 45 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
234	TiDB: A Raft-based HTAP Database	2020	VLDB	0.00023765806
258	bLSM: A General Purpose Log Structured Merge Tree	2012	SIGMOD	0.00022939599
400	Monkey: Optimal Navigable Key-Value Store	2017	SIGMOD	0.00019129175
585	Workload-Aware Database Monitoring and Consolidation	2011	SIGMOD	0.00015949541
754	Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging	2018	SIGMOD	0.00014236015
816	SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data	2017	VLDB	0.00013687311
891	SuRF: Practical Range Query Filtering with Fast Succinct Tries	2018	SIGMOD	0.00013245926
1,313	X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing	2019	SIGMOD	0.00011060108
1,422	The Log-Structured Merge-Bush & the Wacky Continuum	2019	SIGMOD	0.00010725538
1,569	Compaction management in distributed key-value datastores	2015	VLDB	0.00010211433
1,676	Amazon DynamoDB: A Seamlessly Scalable Non-relational Datastore	2012	SIGMOD	9.914364e-05
1,889	Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn	2019	CIDR	9.4273689e-05
1,980	Chucky: A Succinct Cuckoo Filter for LSM-Tree	2021	SIGMOD	9.2595896e-05
2,510	Viper: An Efficient Hybrid PMem-DRAM Key-Value Store	2021	VLDB	8.3698208e-05
2,664	Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores	2020	SIGMOD	8.1569551e-05
2,770	Constructing and Analyzing the LSM Compaction Design Space	2021	VLDB	8.037607e-05
2,788	Lethe: A Tunable Delete-Aware LSM Engine	2020	SIGMOD	8.0133966e-05
2,812	OceanBase: A 707 Million tpmC Distributed Relational Database System	2022	VLDB	7.9811649e-05
2,868	Spooky: Granulating LSM-Tree Compactions Correctly	2022	VLDB	7.9241972e-05
2,995	Accordion: Better Memory Organization for LSM Key-Value Stores	2018	VLDB	7.7705434e-05
3,232	TreeLine: An Update-In-Place Key-Value Store for Modern Storage	2023	VLDB	7.50343e-05
3,479	Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine	2022	VLDB	7.2695068e-05
3,671	Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines	2020	VLDB	7.1100217e-05
3,940	DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory	2022	VLDB	6.9139581e-05
4,121	On Performance Stability in LSM-based Storage Systems	2020	VLDB	6.7946812e-05
4,197	Proteus: A Self-Designing Range Filter	2022	SIGMOD	6.7417716e-05
4,750	GRF: A Global Range Filter for LSM-Trees with Shape Encoding	2024	SIGMOD	6.4354422e-05
4,875	Oasis: An Optimal Disjoint Segmented Learned Range Filter	2024	VLDB	6.3724016e-05
4,946	A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases	2018	SIGMOD	6.3435811e-05
4,947	Grafite: Taming Adversarial Queries with Optimal Range Filters	2024	SIGMOD	6.3426055e-05
5,018	Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems	2021	VLDB	6.3121723e-05
5,044	Lightweight Cardinality Estimation in LSM-based Systems	2018	SIGMOD	6.30014e-05
5,248	Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty	2022	VLDB	6.211056e-05
5,613	Dotori: A Key-Value SSD Based KV Store	2023	VLDB	6.0670316e-05
6,124	Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads	2023	SIGMOD	5.8788211e-05
6,500	Revisiting the Design of LSM-tree Based OLTP Storage Engine with Persistent Memory	2021	VLDB	5.7648519e-05
7,905	CAMAL: Optimizing LSM-trees via Active Learning	2024	SIGMOD	5.4291824e-05
8,329	How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice	2025	SIGMOD	5.3536854e-05
8,620	Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines	2024	SIGMOD	5.301557e-05
8,640	Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees	2025	SIGMOD	5.2972383e-05
9,056	Aster: Enhancing LSM-structures for Scalable Graph Database	2025	SIGMOD	5.2295363e-05
9,130	Rethinking The Compaction Policies in LSM-trees	2025	SIGMOD	5.2233025e-05
9,181	Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space	2024	SIGMOD	5.2118872e-05
9,464	DFlush: DPU-Offloaded Flush for Disaggregated LSM-based Key-Value Stores	2025	SIGMOD	5.1727546e-05
9,710	Disco: A Compact Index for LSM-trees	2025	SIGMOD	5.1371878e-05

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