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Query-based Workload Forecasting for Self-Driving Database Management Systems

Summary: QueryBot 5000 forecasts query arrivals from history via the logical query composition, not resource usage. Multi-horizon, clustering-based model reduction; real-trace evaluation; external controller for PostgreSQL/MySQL to guide index selection. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf4b68041a4815fd7
Venue
SIGMOD
Year
2018
Pagerank
0.00017842695
Overall Rank
460 | 96.91%
DOI
10.1145/3183713.3196908

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ma_sigmod18,
        title = {{Query-based Workload Forecasting for Self-Driving Database Management Systems}},
        author = {Ma, Lin and Van Aken, Dana and Hefny, Ahmed and Mezerhane, Gustavo and Pavlo, Andrew and Gordon, Geoffrey J.},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196908},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196908},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 71 citing papers.

Rank Citing Paper Year Venue Pagerank
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
8,872 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.2584643e-05
9,115 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2271833e-05
9,133 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2229655e-05
9,396 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 5.1853705e-05
9,606 TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection 2025 VLDB 5.1531256e-05
9,655 LightCTS: A Lightweight Framework for Correlated Time Series Forecasting 2023 SIGMOD 5.1453267e-05
9,706 Database Gyms 2023 CIDR 5.1376763e-05
9,831 Automating the Enterprise with Foundation Models 2024 VLDB 5.1245795e-05
10,148 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.0715586e-05
10,183 DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree 2025 VLDB 5.0651993e-05
10,217 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 5.0582281e-05
10,224 Modeling Concurrency Control as a Learnable Function 2026 SIGMOD 5.0571508e-05
10,290 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.0431863e-05
10,291 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0431863e-05
10,333 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0281656e-05
11,115 Parallel kd-tree with Batch Updates 2025 SIGMOD 4.9793485e-05
11,431 Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining 2025 VLDB 4.9793485e-05
11,499 Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB 2024 SIGMOD 4.9793485e-05
12,145 Query-Driven Learning for Next Generation Predictive Modeling & Analytics 2019 SIGMOD 4.9793485e-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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