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Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines

Summary: Limousine is a self-designing key-value engine that morphs to near-optimal architecture for a workload by blending learned and classical data structures across clouds. A distribution-aware I/O model navigates a quindecillion design space to yield Pareto-optimal configs and auto-generates Rust, beating RocksDB/WiredTiger/FASTER/Cosine on YCSB by up to 1000x. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h84fc705745c9d182
Venue
SIGMOD
Year
2024
Pagerank
5.301557e-05
Overall Rank
8,620 | 42.05%
DOI
10.1145/3639302

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chatterjee_sigmod24,
        title = {{Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines}},
        author = {Chatterjee, Subarna and Pekala, Mark F. and Kruglyak, Lev and Idreos, Stratos},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639302},
        url = {https://dl.acm.org/doi/10.1145/3639302},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 36 of 36 cited papers.

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

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
69 Making B+-Trees Cache Conscious in Main Memory 2000 SIGMOD 0.00037950385
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
88 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035351639
123 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00030762995
195 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025628849
236 LinkBench: a Database Benchmark Based on the Facebook Social Graph 2013 SIGMOD 0.00023671522
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021041865
400 Monkey: Optimal Navigable Key-Value Store 2017 SIGMOD 0.00019129175
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
460 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017842695
463 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017804544
472 Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems 2012 SIGMOD 0.00017692264
513 Tree Indexing on Solid State Drives 2010 VLDB 0.00017044842
546 Faster: A Concurrent Key-Value Store with In-Place Updates 2018 SIGMOD 0.00016590738
754 Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging 2018 SIGMOD 0.00014236015
779 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014030069
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
1,600 SQLGraph: An Efficient Relational-Based Property Graph Store 2015 SIGMOD 0.00010112271
1,605 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010093796
1,659 SQL Memory Management in Oracle9i 2002 VLDB 9.9624689e-05
1,889 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4273689e-05
2,277 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7075835e-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
3,479 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2695068e-05
3,525 Key-Value Storage Engines 2020 SIGMOD 7.2327042e-05
3,697 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.0882335e-05
3,965 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.8918628e-05
4,772 LogKV: Exploiting Key-Value Stores for Event Log Processing 2013 CIDR 6.4229185e-05
5,046 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.3000825e-05
5,879 Compactionary: A Dictionary for LSM Compactions 2022 SIGMOD 5.9615203e-05
6,080 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8924903e-05
10,043 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.0921006e-05
10,156 Generating Application-Specific Data Layouts for In-memory Databases 2019 VLDB 5.0707546e-05
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