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 am co-organizing MPLR’23

• I was invited to serve on the PC of OSDI’22

• I am co-organizing MoreVMs’22

• Oracle Labs is opening new internship positions. Check their internship program.

• I am looking for PhD students! Feel free to contact me if you are interested in working on Systems and/or Programming Languages.

• New Process-as-a-Service: FaaSt Stateful Computing with Optimized Data Planes (preprint)
  • Marcin Copik, Alexandru Calotoiu, Rodrigo Bruno, Roman Bohringer, Torsten Hoefler
• New Short-lived Datacenters (preprint)
  • Michael Wawrzoniak, Ingo Müller, Rodrigo Bruno, Ana Klimovic, Gustavo Alonso
• Selecting a GC for Java Applications in NIKT’21
  • Sanaz Tavakolisomeh, Rodrigo Bruno, Paulo Ferreira
• Specializing Generic Java Data Structures in MPLR’21
  • Dan Graur, Rodrigo Bruno, Gustavo Alonso
• 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
• Hermes: Enabling efficient large-scale simulation in MATSim [Code] in ABMTRANS’21
  • Dan Graur, Rodrigo Bruno, Joschka Bischoff, Marcel Rieser, Wolfgang Scherr, Torsten Hoefler, 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
• Serverless Clusters: The Missing Piece for Interactive Batch Applications? in SPMA’20
  • Ingo Müller, Rodrigo Bruno, Ana Klimovic, John Wilkes, Eric Sedlar, Gustavo Alonso
• Towards High Performance Mobility Simulations [Code] in STRC’19
  • Rodrigo Bruno, Michel Mueller, Gustavo Alonso, Torsten Hoefler
• 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
• novaVM: Enhanced Java Virtual Machine for Big Data Applications (PhD Thesis)
  • Rodrigo Bruno
• Graviton: Trusted Execution Environments on GPUs in OSDI’18
  • Stavros Volos, Kapil Vaswani, Rodrigo Bruno
• Dynamic Vertical Memory Scalability for OpenJDK Cloud Applications [Code] [JEP 346] [JEP draft] [Slides] in ISMM’18
  • Rodrigo Bruno, Paulo Ferreira, Ruslan Synytsky, Tetiana Fydorenchyk, Jia Rao, Hang Huang, Song Wu
• POLM2: Automatic Profiling for Object Lifetime-Aware Memory Management for HotSpot Big Data Applications [Code] [Slides] in Middleware’17
  • Rodrigo Bruno, Paulo Ferreira
• A study on Garbage Collection Algorithms for Big Data Environments in ACM Computing Surveys 2017
  • Rodrigo Bruno, Paulo Ferreira
• freeCycles - Efficient Multi-Cloud Computing Platform [Code] in Journal of Grid Computing 2017
  • Rodrigo Bruno, Paulo Ferreira
• Locality-Aware GC Optimisations for Big Data Workloads in C&TC’17
  • Duarte Patrício, Rodrigo Bruno, José Simão, Paulo Ferreira, Luís Veiga
• Improving JVM Application Migration and Profiling with Checkpoint/Restore [Slides] in Checkpoint-Restore Microconference, LinuxPlumbers’17
  • 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
• NG2C: N-Generational GC for Big Data Memory Management [Slides] [Poster] in CloudDP’16
  • Rodrigo Bruno, Paulo Ferreira
• Asynchronous Complete Garbage Collection for Graph Data Stores in Middleware’15
  • Luís Veiga, Rodrigo Bruno, Paulo Ferreira
• Termite: Emulation Testbed for Encounter Networks [Code] in MobiQuitous’15
  • Rodrigo Bruno, Nuno Santos, Paulo Ferreira
• freeCycles: Efficient Data Distribution for Volunteer Computing (MSc Thesis)
  • Rodrigo Bruno
• SCADAMAR: scalable and data-efficient internet MapReduce [Code] in CCB’14
  • Rodrigo Bruno, Paulo Ferreira
• freeCycles: efficient data distribution for volunteer computing [Code] in CloudDP’14
  • Rodrigo Bruno, Paulo Ferreira

• 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)
• Filipe Sousa, Performance Isolation in GraalVM Native Image Isolates (MSc, University of Lisbon, co-advised with Luís Veiga)
• 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

• Sutao Wang, Thin Serverless Functions with GraalVM Native Image (MSc, ETH Zurich, co-advised with Ingo Mueller and Gustavo Alonso)
• David Frickert, Photons@Graal - Enabling Efficient Function-as-a-Service on GraalVM (MSc, University of Lisbon, co-advising with Luís Veiga)
• 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)

• 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

• 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
• Research work mentioned in Introducing HERMES
• 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

• 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.