Workload-aware methods for resource sizing, performance optimization, cost control, and operational safeguards across cloud data warehouses and infrastructure.
How can cloud data warehouses and infrastructure deliver better performance at lower cost under changing workloads?
GenRewrite · DAGSmith · Keebo, with related work on workload prediction, resource sizing, cloud database performance, and cost optimization.
Workload-aware methods for improving performance, resource efficiency, and cost across cloud data warehouses and infrastructure.
Tools for diagnosing performance failures, predicting resource needs, and explaining workload-driven behavior in production databases.
AI, database learning, and workload feedback for improving queries and data pipelines while preserving semantics and operational constraints.
SIGMOD 2026 · ACM SIGMOD International Conference on Management of Data
@article{a4a53ccf-7851-464a-8346-dc6c0f5823dc,
title = {GenRewrite: Query Rewriting via Large Language Models},
author = {Jie Liu and Barzan Mozafari},
journal = {ACM SIGMOD International Conference on Management of Data},
year = {2026},
doi = {10.1145/3786684}
}SIGMOD Demo 2023 · ACM SIGMOD International Conference on Management of Data — Demonstration
@inproceedings{8ede012b-09b5-4196-bc20-95033ee64807,
title = {Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning},
author = {Barzan Mozafari and Radu Alexandru Burcuta and Alan Cabrera and Andrei Constantin and Derek Francis and David Grömling and Alekh Jindal and Maciej Konkolowicz and Valentin Marian Spac and Yongjoo Park and Russell Razo Carranzo and Nicholas Richardson and Abhishek Roy and Aayushi Srivastava and Isha Tarte and Brian Westphal and Chi Zhang},
booktitle = {ACM SIGMOD International Conference on Management of Data — Demonstration},
year = {2023},
doi = {10.1145/3555041.3589681}
}PVLDB 2023 · Proceedings of the VLDB Endowment
@article{def837ec-1591-44a4-a36d-929442c789f3,
title = {SlabCity: Whole-Query Optimization using Program Synthesis},
author = {Rui Dong and Jie Liu and Yuxuan Zhu and Cong Yan and Barzan Mozafari and Xinyu Wang},
journal = {Proceedings of the VLDB Endowment},
year = {2023},
doi = {10.14778/3611479.3611515}
}SIGMOD 2016 · ACM SIGMOD International Conference on Management of Data
@inproceedings{a5460b19-8bff-4fd2-ae5e-d0ce7477454b,
title = {DBSherlock: A Performance Diagnostic Tool for Transactional Databases},
author = {Dong Young Yoon and Ning Niu and Barzan Mozafari},
booktitle = {ACM SIGMOD International Conference on Management of Data},
year = {2016},
doi = {10.1145/2882903.2915218}
}PVLDB 2015 · Proceedings of the VLDB Endowment
@article{7c01b9d8-7064-406d-8eed-815b804063b2,
title = {DBSeer: Pain-free Database Administration through Workload Intelligence},
author = {Dong Young Yoon and Barzan Mozafari and Douglas P. Brown},
journal = {Proceedings of the VLDB Endowment},
year = {2015},
doi = {10.14778/2824032.2824130}
}CIDR 2013 · Conference on Innovative Data Systems Research
@inproceedings{dbc38671-6184-4ab9-ba11-eb567fddba7b,
title = {DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud},
author = {Barzan Mozafari and Carlo Curino and Samuel Madden},
booktitle = {Conference on Innovative Data Systems Research},
year = {2013}
}