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Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD

Summary: Blueprint planning: project cloud data-infrastructure design decisions into a unified design space and cost-based search that uses learned models to predict blueprint utility. BRAD implements this virtualization, exposing one SQL interface that auto-selects engines, provisions resources, and adapts to workloads, achieving 1.6–13× cost savings while meeting performance targets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13758
Venue
VLDB
Year
2024
Pagerank
5.5519655e-05
Overall Rank
7,755 | 46.80%
DOI
10.14778/3681954.3682026

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yu_vldb24,
        title = {{Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD}},
        author = {Yu, Geoffrey X. and Wu, Ziniu and Kossmann, Ferdi and Li, Tianyu and Markakis, Markos and Ngom, Amadou and Madden, Samuel and Kraska, Tim},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {3629--3643},
        doi = {10.14778/3681954.3682026},
        url = {https://doi.org/10.14778/3681954.3682026},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 49 of 49 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
66 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00038561587
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
182 Federated Database Systems for Managing Distributed, Heterogeneous, and Autonomous Databases 1991 VLDB 0.00026367971
234 Self-Driving Database Management Systems 2017 CIDR 0.00023810722
271 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00022703024
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
568 SageDB: A Learned Database System 2019 CIDR 0.0001641553
575 Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth 2012 SIGMOD 0.00016257033
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00015014887
873 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013481915
1,122 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.0001209124
1,174 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011817414
1,675 Garlic: A New Flavor of Federated Query Processing for DB2 2002 SIGMOD 0.00010035333
1,931 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.4664741e-05
2,523 Multidatabase Update Issues 1988 SIGMOD 8.4705778e-05
2,844 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 8.0608767e-05
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
3,035 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.8297746e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
3,343 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.4983591e-05
3,351 RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - 2018 VLDB 7.4937347e-05
3,535 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.3333933e-05
3,586 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.2834069e-05
3,618 The Myria Big Data Management and Analytics System and Cloud Service 2017 CIDR 7.2523695e-05
3,809 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.1074195e-05
4,493 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6647555e-05
4,968 Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue 2019 SIGMOD 6.4206525e-05
5,107 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3623786e-05
5,265 New Directions in Cloud Programming 2021 CIDR 6.2941668e-05
5,602 How Good is My HTAP System? 2022 SIGMOD 6.1538237e-05
5,630 The MYRIAD Federated Database Prototype 1994 SIGMOD 6.1428621e-05
6,294 Tigger: A Database Proxy That Bounces With User-Bypass 2023 VLDB 5.9239632e-05
6,357 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR 5.9020843e-05
6,480 Proteus: Autonomous Adaptive Storage for Mixed Workloads 2022 SIGMOD 5.8669819e-05
6,494 Extract-Transform-Load for Video Streams 2023 VLDB 5.8639535e-05
6,724 Skeena: Efficient and Consistent Cross-Engine Transactions 2022 SIGMOD 5.7924267e-05
7,560 Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools 2023 SIGMOD 5.5984517e-05
8,375 Serverless State Management Systems 2024 CIDR 5.4391978e-05
9,008 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 5.3335632e-05
9,536 Database Gyms 2023 CIDR 5.2529727e-05
9,895 DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps 2023 SIGMOD 5.1997534e-05
9,988 Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q 2018 SIGMOD 5.1831838e-05
10,066 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.1643809e-05
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