Publications in reversed chronological order.


  1. cackle.pdf.jpg
    Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools
    Matthew Perron, Michael Cafarella, Raul Castro Fernandez, David DeWitt, and Samuel Madden
    Proc. ACM Manag. Data, Dec 2023
  2. amazon_patent.pdf.jpg
    Selecting between hydration-based scanning and stateless scale-out scanning to improve query performance
    Ippokratis Pandis, and Matthew Perron
    Jun 2023
    US Patent App. 18/171,245


  1. starling.pdf.jpg
    Starling: A Scalable Query Engine on Cloud Functions
    Matthew Perron, Raul Castro Fernandez, David DeWitt, and Samuel Madden
    In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, Jun 2020


  1. clouddbms.pdf.jpg
    Choosing a cloud DBMS: architectures and tradeoffs
    Junjay Tan, Thanaa Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David DeWitt, Marco Serafini, Ashraf Aboulnaga, and Tim Kraska
    Proceedings of the VLDB Endowment, Jun 2019
  2. reopt2019.pdf.jpg
    How I learned to stop worrying and love re-optimization
    Matthew Perron, Zeyuan Shang, Tim Kraska, and Michael Stonebraker
    In 2019 IEEE 35th International Conference on Data Engineering (ICDE), Jun 2019


  1. selfdriving2017.pdf.jpg
    Self-Driving Database Management Systems.
    Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C Mowry, Matthew Perron, and 2 more authors
    In CIDR, Jun 2017


  1. write_behind_logging.pdf.jpg
    Write-behind logging
    Joy Arulraj, Matthew Perron, and Andrew Pavlo
    Proceedings of the VLDB Endowment, Jun 2016