Matthew Perron

According to our database, Matthew Perron authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools.

Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden

Proc. ACM Manag. Data, December, 2023

2020

Starling: A Scalable Query Engine on Cloud Functions.

Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Choosing A Cloud DBMS: Architectures and Tradeoffs.

Junjay Tan, Thanaa M. Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David J. DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska

Proc. VLDB Endow., 2019

Starling: A Scalable Query Engine on Cloud Function Services.

Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden

CoRR, 2019

How I Learned to Stop Worrying and Love Re-optimization.

Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

Self-Driving Database Management Systems.

Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, Tieying Zhang

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

Write-Behind Logging.

Joy Arulraj, Matthew Perron, Andrew Pavlo

Proc. VLDB Endow., 2016