ETOS
Efficient and Trustworthy
Operating, Open-Source, Operational Systems Group
The ETOS group builds and investigates core abstractions and techniques for improving the efficiency and trustworthiness of practical computer systems. We conduct research on operating systems, distributed systems, data privacy, web services, data center infrastructure, compilers, and security. ETOS builds practical, efficient, and easy-to-use working systems, and releases them as open-source software. We are part of the Systems Group at Brown CS.
Check out our publications for more about our current and past research. If you are interested in joining our group, see this page.
News
- November 2024: Our paper on end-to-end privacy compliance with Sesame appeared at SOSP 2024!
- July 2024: Our paper on improving datacenter utilization with granular computing in Quicksand was accepted to NSDI 2025!
- May 2024: Malte receives the Eliot Horowitz Assistant Professorship in Computer Science.
- May 2024: Carolyn and Shirley receive senior prizes from Brown CS!
- January 2024: Megan and Carolyn receive recognitions for undergraduate research from CRA!
- October 2023: Artem wins the Student Research Competition at SOSP 2023!
- October 2023: Our paper on disguising and revealing user data with Edna appears at SOSP 2023!
- July 2023: Our paper on GDPR-compliant storage with K9db appeared at OSDI 2023!
- June 2023: Two ETOS papers on Soft Memory and True Utility Computing with Quicksand published at HotOS 2023!
- May 2023: Malte's Omega paper wins the Test-of-Time Award at EuroSys 2023.
- April 2023: Our paper on logical processes in Nu appears at NSDI 2023.
- April 2022: Malte received Brown's Henry Merritt Wriston Fellowship.
See all news.
Alumni
- Allen Aby (MSc 2024, → Microsoft)
- Megan Frisella (ScB 2024, → University of Washington)
- Benjamin Givertz (ScB 2022, → Twitch)
- Hannah Gross (ScB 2023, → MIT)
- Aaron Rosario Jeyaraj (ScB 2023, → Crusoe Energy)
- Benjamin Kilimnik (ScB 2023, → New Relic)
- Eleonora Kiziv (ScB 2020, → Google)
- Vic Li (MSc 2023, → University of Washington)
- Shirley Loayza Sanchez (ScB 2024, → Google/Stanford University)
- Raj Paul (ScB 2023, → Oracle)
- Sinan Pehlivanoglu (MSc 2022, → VMware/Indiana University)
- Sreshtaa Rajesh (ScB 2023, → MIT Lincoln Labs)
- Yunzhi Shao (MSc 2022, → Amazon)
- Ishan Sharma (MSc 2022, → AWS)
- Leonhard Spiegelberg (PhD 2023, → Snowflake)
- Lillian Tsai (PhD 2024, → Google Systems Research)
- Carolyn Zech (ScB 2024, → AWS, Automated Reasoning Group)
- Livia Zhu (ScB 2023.5, → Databricks)
Support
Thanks to the National Science Foundation, Amazon, Google, Microsoft, and VMware for supporting our research.