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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
5554
Venue
SIGMOD
Year
2018
Pagerank
0.00017723171
Overall Rank
716 | 95.03%
DOI
10.1145/3183713.3196908

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Incoming Citations (Sorted by Pagerank)

Showing 20 of 70 citing papers.

Rank Citing Paper Year Venue Pagerank
8,774 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 4.4559995e-05
8,884 Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? 2025 VLDB 4.4283999e-05
9,006 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 4.4101482e-05
9,203 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 4.3740313e-05
9,324 LightCTS: A Lightweight Framework for Correlated Time Series Forecasting 2023 SIGMOD 4.3556432e-05
9,467 Database Gyms 2023 CIDR 4.3346412e-05
9,515 Automating the Enterprise with Foundation Models 2024 VLDB 4.3335877e-05
9,529 Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees 2025 SIGMOD 4.32934e-05
9,844 DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree 2025 VLDB 4.2721228e-05
9,892 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 4.261445e-05
9,917 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 4.2561557e-05
9,956 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 4.2373024e-05
10,217 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 4.1945683e-05
10,247 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 4.1945683e-05
10,387 Parallel kd-tree with Batch Updates 2025 SIGMOD 4.1945683e-05
10,726 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 4.1945683e-05
10,729 TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection 2025 VLDB 4.1945683e-05
10,850 Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining 2025 VLDB 4.1945683e-05
10,932 Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB 2024 SIGMOD 4.1945683e-05
11,650 Query-Driven Learning for Next Generation Predictive Modeling & Analytics 2019 SIGMOD 4.1945683e-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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