Optimizing Databases by Learning Hidden Parameters of Solid State Drives. - Aarati Kakaraparthy; Jignesh M. Patel; Kwanghyun Park 001; Brian Kroth (Proc. VLDB Endow., 2019)

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. - Ashvin Agrawal; Rony Chatterjee; Carlo Curino; Avrilia Floratou; Neha Godwal; Matteo Interlandi; Alekh Jindal; Konstantinos Karanasos; Subru Krishnan; Brian Kroth; Jyoti Leeka; Kwanghyun Park 001; et al. (CIDR, 2020)

Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. - Yinjun Wu; Kwanghyun Park 001; Rathijit Sen; Brian Kroth; Jaeyoung Do (DaMoN, 2020)

From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees. - Yifan Dai; Yien Xu; Aishwarya Ganesan; Ramnatthan Alagappan; Brian Kroth; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (OSDI, 2020)

MLOS: An Infrastructure for Automated Software Performance Engineering. - Carlo Curino; Neha Godwal; Brian Kroth; Sergiy Kuryata; Greg Lapinski; Siqi Liu; Slava Oks; Olga Poppe; Adam Smiechowski; Ed Thayer; Markus Weimer; Yiwen Zhu (DEEM@SIGMOD, 2020)

Learning How To Learn Within An LSM-based Key-Value Store. - Yifan Dai; Yien Xu; Aishwarya Ganesan; Ramnatthan Alagappan; Brian Kroth; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (CoRR, 2020)

VIP Hashing - Adapting to Skew in Popularity of Data on the Fly (extended version). - Aarati Kakaraparthy; Jignesh M. Patel; Brian P. Kroth; Kwanghyun Park 001 (CoRR, 2022)

VIP Hashing - Adapting to Skew in Popularity of Data on the Fly. - Aarati Kakaraparthy; Jignesh M. Patel; Brian Kroth; Kwanghyun Park 001 (Proc. VLDB Endow., 2022)

LlamaTune: Sample-Efficient DBMS Configuration Tuning. - Konstantinos Kanellis; Cong Ding 002; Brian Kroth; Andreas Müller 024; Carlo Curino; Shivaram Venkataraman (Proc. VLDB Endow., 2022)

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. - Fotis Psallidas; Yiwen Zhu; Bojan Karlas; Jordan Henkel; Matteo Interlandi; Subru Krishnan; Brian Kroth; K. Venkatesh Emani; Wentao Wu 001; Ce Zhang 001; Markus Weimer; Avrilia Floratou; et al. (SIGMOD Rec., 2022)

Towards Building Autonomous Data Services on Azure. - Yiwen Zhu; Yuanyuan Tian 001; Joyce Cahoon; Subru Krishnan; Ankita Agarwal; Rana Alotaibi; Jesús Camacho-Rodríguez; Bibin Chundatt; Andrew Chung; Niharika Dutta; Andrew Fogarty; Anja Gruenheid; et al. (SIGMOD Conference Companion, 2023)

VASIM: Vertical Autoscaling Simulator Toolkit. - Anna Pavlenko; Karla Saur; Yiwen Zhu; Brian Kroth; Joyce Cahoon; Jesús Camacho-Rodríguez (ICDE, 2024)

Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud. - Anna Pavlenko; Joyce Cahoon; Yiwen Zhu; Brian Kroth; Michael Nelson; Andrew Carter; David Liao; Travis Wright; Jesús Camacho-Rodríguez; Karla Saur (SIGMOD Conference Companion, 2024)

Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? - Rana Alotaibi; Yuanyuan Tian 001; Stefan Grafberger; Jesús Camacho-Rodríguez; Nicolas Bruno; Brian Kroth; Sergiy Matusevych; Ashvin Agrawal; Mahesh Behera; Ashit Gosalia; César A. Galindo-Legaria; Milind Joshi; et al. (CoRR, 2024)

MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. - Brian Kroth; Sergiy Matusevych; Rana Alotaibi; Yiwen Zhu; Anja Gruenheid; Yuanyuan Tian 001 (Proc. VLDB Endow., 2024)

TUNA: Tuning Unstable and Noisy Cloud Applications. - Johannes Freischuetz; Konstantinos Kanellis; Brian Kroth; Shivaram Venkataraman (EuroSys, 2025)

Autotuning Systems: Techniques, Challenges, and Opportunities. - Brian Kroth; Sergiy Matusevych; Yiwen Zhu (SIGMOD Conference Companion, 2025)

Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. - Yiwen Zhu; Rathijit Sen; Brian Kroth; Sergiy Matusevych; Andreas C. Mueller; Tengfei Huang; Rahul Challapalli; Weihan Tang; Xin He; Mo Liu 003; Estera Kot; Sule Kahraman; et al. (SIGMOD Conference Companion, 2025)