Matthew Perron

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 8

Top Topics

Optimization Strategies

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. Proc. ACM Manag. Data 1 (4) (2023)
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden
Starling: A Scalable Query Engine on Cloud Functions. SIGMOD Conference (2020)
Junjay Tan, Thanaa M. Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David J. DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska
Choosing A Cloud DBMS: Architectures and Tradeoffs. Proc. VLDB Endow. 12 (12) (2019)
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
How I Learned to Stop Worrying and Love Re-optimization. CoRR (2019)
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
How I Learned to Stop Worrying and Love Re-optimization. ICDE (2019)
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden
Starling: A Scalable Query Engine on Cloud Function Services. CoRR (2019)
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
Self-Driving Database Management Systems. CIDR (2017)
Joy Arulraj, Matthew Perron, Andrew Pavlo
Write-Behind Logging. Proc. VLDB Endow. 10 (4) (2016)