I am an Assistant Professor at Técnico (University of Lisbon), and a Senior Researcher INESC-ID Lisbon. Before, I was a Senior Researcher at Oracle Labs Zurich (working on GraalVM), and before that, I was a Post-doc Researcher in the Systems Group, ETH Zurich, which I joined after receiving my PhD in CS from Técnico (University of Lisbon).

Most of my research focuses in the intersection between Systems and Programming Languages. I am especially interested in optimizing language runtimes for cloud environments such as Microservices and Serverless. Besides language runtimes, I work on Operating Systems, and Parallel and Distributed Systems.

• I was invited to serve on the PC of NSDI’24

• I was distinguished with the Yourg Researcher Award 2022

• I am co-organizing SESAME’23

• I was invited to serve on the PC of ASPLOS’23

• I am co-organizing MPLR’23

• I am looking for PhD students! Contact me if you are interested in Systems and Programming Languages.

• Naos: Serialization-free RDMA networking in Java [Talk] [Slides] [Code] in ATC’21
  • Konstantin Taranov, Rodrigo Bruno, Gustavo Alonso, Torsten Hoefler

• From Warm to Hot Starts: Leveraging Runtimes for the Serverless Era [Talk] in HotOS’21
  • Joao Carreira, Sumer Kohli, Rodrigo Bruno, Pedro Fonseca

• Compiler-Assisted Object Inlining with Value Fields to appear in PLDI’21
  • Rodrigo Bruno, Vojin Jovanovic, Christian Wimmer, Gustavo Alonso

• Boxer: Data Analytics on Network-enabled Serverless Platforms [Talk] in CIDR’21
  • Michal Wawrzoniak, Ingo Mueller, Rodrigo Bruno, Gustavo Alonso

• Photons: Lambdas on a diet [Code] [Talk] in SOCC’20
  • Vojislav Dukic, Rodrigo Bruno, Ankit Singla, Gustavo Alonso

• Runtime Object Lifetime Profiler for Latency Sensitive Big Data Applications [Code] [Slides] in EuroSys’19
  • Rodrigo Bruno, Duarte Patrício, José Simão, Luís Veiga, Paulo Ferreira

• Graviton: Trusted Execution Environments on GPUs in OSDI’18
  • Stavros Volos, Kapil Vaswani, Rodrigo Bruno

• A study on Garbage Collection Algorithms for Big Data Environments in ACM Computing Surveys 2017
  • Rodrigo Bruno, Paulo Ferreira

• NG2C: Pretenuring Garbage Collection with Dynamic Generations for HotSpot Big Data Applications [Code] [Slides] in ISMM’17
  • Rodrigo Bruno, Luís Picciochi Oliveira, Paulo Ferreira

• ALMA - GC-assisted JVM Live Migration for Java Server Applications [Code] [Slides] [Poster] in Middleware’16
  • Rodrigo Bruno, Paulo Ferreira

• Miguel Lourenço, Language Runtime API Isolation (MSc, University of Lisbon)
• Rodrigo Cidra, Secure Java Multi-tenancy (MSc, University of Lisbon)
• Serhii Ivanenko, Serverless Persistent Resources (MSc, University of Lisbon)
• Gonçalo Duarte, Java File System Virtualization (MSc, University of Lisbon)
• Jorge Godinho, Java Network Virtualization (MSc, University of Lisbon)
• Wallace Garbim, Optimizing AOT Compilation Pipeline for Cloud Applications (MSc, University of Lisbon)
• Diogo Santos, Multi-step Function-as-a-Service Application Optimizer (MSc, University of Lisbon)
• António Elias, Continual Machine Learning on Serverless (MSc, University of Lisbon)
• Roman Babynyuk, Thin Serverless Functions with GraalVM Native Image (MSc, University of Lisbon)
• David Nunes, Scheduling Serverless Functions (MSc, University of Lisbon, co-advised with Luís Veiga)
• Sanaz Tavakoli, Garbage Collection for Modern JVMs (PhD, University of Ostlo, co-advised with Paulo Ferreira)

Alumni

• Filipe Sousa, Performance Isolation in GraalVM Native Image Isolates (MSc, University of Lisbon, co-advised with Luís Veiga)
• David Frickert, Photons@Graal - Enabling Efficient Function-as-a-Service on GraalVM (MSc, University of Lisbon, co-advising with Luís Veiga)
• Sutao Wang, Thin Serverless Functions with GraalVM Native Image (MSc, ETH Zurich, co-advised with Ingo Mueller and Gustavo Alonso)
• Domantas Lionas, Runtime Object Lifetime Profiler for the Virtual Machine GraalVM (MSc, University of Oslo, co-advised with Paulo Ferreira)
• Fernando Moreira, Termite – Supporting Encounter Based Apps (MSc, University of Lisbon, co-advised with Paulo Ferreira)
• Carlos Oliveira, A Performance Comparison of Modern Garbage Collectors for Big Data Environments (MSc, University of Lisbon, co-advised with Paulo Ferreira)

• Program Committee of NSDI’24
• Organizing Commitee of SESAME’23
• Program Committee of ASPLOS’23
• Organizing Commitee of MPLR’23
• Program Committee of OSDI’22
• Organizing Commitee of MoreVMs’22
• External Reviewer of NSDI’22
• External Program Committee of Middleware’21
• Artifact Evaluation Committee of SOSP’21
• Shadow Program Committee of EuroSys’20
• Reviewer of Journal of Science Computer Programming
• Reviewer of Journal of Grid Computing

• Management and Administration of It Infrastructures and Services, Fall Semester, MEIC, Técnico
• Computer Systems Engineering, Fall Semester, MEIC, Técnico
• Cloud Computing and Virtualization, Spring Semester, MEIC, Técnico

• Best Young Researcher 2022 Award by INESC-ID
• Research work mentioned in The Raspberry Pi Super Computer in DevNucleus at Cloud World 2022
• Research work mentioned in Introducing HERMES
• Invited to the Google PhD Internal Research Conference 2018
• Invited to the Google Compiler and Programming Language Summit 2017 and 2019
• Awarded the “excellence” recognition for teaching in 2014/2015, 2017/2018, 2017/2018
• Awarded 2nd place in the Fraunhofer Portugal Challenge 2018 in the PhD category
• Awarded the Doctoral Student Merit Award 2017 by the Distributed Systems Group at INESC-ID Lisboa
• Research work mentioned in Reducing Memory Usage to Speed Up Live Migration
• Invited submission to the Journal of Internet Services and Applications (JISA) by CCB’14 organizing committee
• Merit Award from EJEA, given to the top three students finishing under graduate degree

• Graalvisor (runtime virtualization layer) used in a large-scale Pi cluster at Cloud World 2022
• Object Inlining optimization in production at GraalVM Native Image
• Mobility simulator Hermes used in production at SBB and merged into MATSim
• External memory tracking system developed during intership used in V8 JS Engine
• Elastic memory contribution deployed in OpenJDK HotSpot JVM (JEP 346)
• Socket-based live process migration integrated into CRIU

This research group is funded in part by generous donations from Oracle Labs.