Brian Kroth

24 papers A* 2A 3C 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Autotuning Systems: Techniques, Challenges, and Opportunities.
SIGMOD Conference Companion
Brian Kroth, Sergiy Matusevych, Yiwen Zhu
2025 — conf
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment.
SIGMOD Conference Companion
Yiwen Zhu, Rathijit Sen, Brian Kroth, Sergiy Matusevych, Andreas C. Mueller, Tengfei Huang, Rahul Challapalli, Weihan Tang, Xin He, Mo Liu, Estera Kot, Sule Kahraman, Arshdeep Sekhon, Dario Bernal, Aditya Lakra, Shaily Fozdar, Dhruv Relwani, Rui Fang, Long Tian, Karuna Sagar Krishna, Ashit Gosalia, Carlo Curino, Subru Krishnan
2025 A conf
TUNA: Tuning Unstable and Noisy Cloud Applications.
EuroSys
Johannes Freischuetz, Konstantinos Kanellis, Brian Kroth, Shivaram Venkataraman
2025 J jnl
TUNA: Tuning Unstable and Noisy Cloud Applications.
CoRR
Johannes Freischuetz, Konstantinos Kanellis, Brian Kroth, Shivaram Venkataraman
2025 A conf
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Platform: Can One QO Rule Them All?
CIDR
Yuanyuan Tian, Jesús Camacho-Rodríguez, Carlo Curino, César A. Galindo-Legaria, Ashit Gosalia, Brian Kroth, Sergiy Matusevych, Nicolas Bruno, Ashvin Agrawal, Stefan Grafberger, Beysim Sezgin, Milan Potocnik, Mahesh Behera, Milind Joshi, Xiaoyu Li
2024 J jnl
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud.
Proc. VLDB Endow.
Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian
2024 J jnl
Towards Building Autonomous Data Services on Azure.
CoRR
Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan
2024 J jnl
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?
CoRR
Rana Alotaibi, Yuanyuan Tian, Stefan Grafberger, Jesús Camacho-Rodríguez, Nicolas Bruno, Brian Kroth, Sergiy Matusevych, Ashvin Agrawal, Mahesh Behera, Ashit Gosalia, César A. Galindo-Legaria, Milind Joshi, Milan Potocnik, Beysim Sezgin, Xiaoyu Li, Carlo Curino
2024 A* conf
VASIM: Vertical Autoscaling Simulator Toolkit.
ICDE
Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez
2024 — conf
Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud.
SIGMOD Conference Companion
Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Michael Nelson, Andrew Carter, David Liao, Travis Wright, Jesús Camacho-Rodríguez, Karla Saur
2023 — conf
Towards Building Autonomous Data Services on Azure.
SIGMOD Conference Companion
Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan
2022 J jnl
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.
SIGMOD Rec.
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
2022 J jnl
LlamaTune: Sample-Efficient DBMS Configuration Tuning.
CoRR
Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman
2022 J jnl
LlamaTune: Sample-Efficient DBMS Configuration Tuning.
Proc. VLDB Endow.
Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman
2022 J jnl
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly.
Proc. VLDB Endow.
Aarati Kakaraparthy, Jignesh M. Patel, Brian Kroth, Kwanghyun Park
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
2020 A* conf
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees.
OSDI
Yifan Dai, Yien Xu, Aishwarya Ganesan, Ramnatthan Alagappan, Brian Kroth, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2020 J jnl
Learning How To Learn Within An LSM-based Key-Value Store.
CoRR
Yifan Dai, Yien Xu, Aishwarya Ganesan, Ramnatthan Alagappan, Brian Kroth, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2020 J jnl
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS.
CoRR
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 C conf
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.
DaMoN
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 — conf
MLOS: An Infrastructure for Automated Software Performance Engineering.
DEEM@SIGMOD
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
2020 J jnl
MLOS: An Infrastructure for Automated Software Performance Engineering.
CoRR
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
2019 J jnl
Optimizing Databases by Learning Hidden Parameters of Solid State Drives.
Proc. VLDB Endow.
Aarati Kakaraparthy, Jignesh M. Patel, Kwanghyun Park, Brian Kroth